CN103400221A - Multidimensional multi-level productivity accounting method - Google Patents

Abstract

The invention relates to a multidimensional multi-level productivity accounting method. The method comprises the following steps of 1, representing the productivity of equipment by using an equipment model; 2, representing the productivity of production lines by using a production line model, or representing the productivity of the production line consisting of the equipment on the basis of the productivity of the equipment; 3, representing the productivity of workshops by using a workshop model, or representing the productivity of the workshop consisting of the production lines on the basis of the productivity of the production lines; 4, representing the productivity of production plants by using a production plant model, or representing the productivity of the production plants consisting of the workshops on the basis of the productivity of the workshops; and 5, representing the productivity, which is changed along with the effective working hours of an enterprise and the rated labor hours of a product, of the enterprise by using an enterprise model, or representing the productivity of the enterprise consisting of the production plants on the basis of the productivity of the production plants. According to the method, the productivity of the enterprise can be accurately described.

Description

Various dimensions stratification productive capacity accounting method

Technical field

The present invention relates to a kind of various dimensions stratification productive capacity accounting method, especially a kind of based on ISA-95 standard (business system and control system integration international standard), from resource, tissue and time three dimensions, set up production models, adjust the method for productive capacity.

Background technology

Semiconductor assembly and test enterprise belongs to typical foundry production pattern.As the semiconductor product of electronic product components and parts, have very strong ageingly, the delivery time is that downstream manufacturers is thirsted for fast and accurately.The diversity of client to product demand, make the production model of enterprise change customization into from standardization, from stock's formula, changes order form into.Under the order form production model, what enterprise sold is no longer proper finished product, but the productive capacity of enterprise.Due to productive capacity can not keeping quality, modeling, the optimal control of productive capacity seemed to particularly important.

In flexible manufacturing system, G.Liberopoulos, on the basis of the characteristics such as the substitutability of analyzing production equipment, non-constant speed, dirigibility, sets up capacity model according to the throughput rate difference of the different parts of device fabrication.Ronald Buitenhek etc. has set up and has produced that a plurality of products, machine are parallel, the capacity model under the throughput rate fixation case, and for emulation with analyze the performance of iteration production run.J.Q.HU etc. have analyzed in the single product manufacturing system, due to external demand, change the productivity management problem that causes.Wilhelm Dangelmaier etc. adopt OO method, have set up continuous modeling, on the key element bases such as streams, production phase, production line, shift length, have set up capacity model.

As the productive capacity of enterprise-essential resource, in traditional ERP system, mainly by work centre, manage.Although the setting of work centre has facilitated the production cost collection, but productive capacity lacks the support of basic data, the data of the statistical study manufacturing execution system collections such as Zhang Lemin are improved work centre productive capacity data, thereby promote the accuracy of ERP system capabilities plan.On the Ability check basis of Yi Xingbin to various devices such as the tapping machine that forms the seamless steel tube production unit, pipe mill, push bench, build the productive capacity accounting method of unit.Li Yu etc. summarize to the modeling method of enterprise capability model, and have set up enterprise capability model prototype system.

Above-mentioned document has carried out positive trial to the structure of capacity model, and some is for the production of practice.From the angle of Production Planning and Controlling, these capability models are not perfect to the support of the production schedule and control, lack unitarity or operability.On the one hand, these models have only been described and can what have been produced from the dimension of quantity, all from the angle of matter, do not consider the qualification ability of resource.On the other hand, also seldom describe from the bottom resources of production to organizations of production at different levels, productive capacity is how to adjust.

The capacity model of ISA-95 standard definition is the set of the resources of production, comprises personnel ability, capacity of equipment, material ability and process section ability, and wherein the process section ability is the iteration of personnel ability, capacity of equipment and material ability.So the capacity model that defines in the ISA-95 standard, emphasis have only been considered personnel ability, capacity of equipment and these resources of production of material ability of enterprise.Although yet productive capacity be based upon on the resources such as people, machine, material, these resources belong to certain tissue, organize and belong to different levels.Simultaneously, same resource is on the different time periods, because capabilities plan, maintenance plan difference cause productive capacity to change on time dimension.So, productive capacity be described accurately, just need on organization of production, time, three dimensions of resource, define.

Summary of the invention

The objective of the invention is to overcome the deficiencies in the prior art, a kind of various dimensions stratification productive capacity accounting method is provided, the method is at the angle, two angles of quality and quantity of product, and resource, organization of production and time three dimensions are set up production models, can describe exactly the productive capacity of enterprise.

According to technical scheme provided by the invention, described various dimensions stratification productive capacity accounting method, is characterized in that, said method comprising the steps of:

Step 1: use device model to characterize the equipment capacity that changes with equipment operational use time, equipment work efficiency and standard time or equipment process velocity;

Step 2: use production line model to characterize the production line productive capacity that changes with production line operational use time and production line beat; Or, based on equipment capacity, characterize the production line productive capacity that is formed by equipment;

Step 3: use plant model to characterize the production ability with workshop operational use time and product variation standard time; Or, based on the productive capacity of production line, characterize the production ability that is formed by production line;

Step 4: use production plant's model to characterize the production plant's productive capacity with production plant's operational use time and product variation standard time; Or, based on the productive capacity in workshop, characterize the productive capacity of the production plant that is formed by workshop;

Step 5: use corporate model to characterize the enterprises' production capacity with enterprise's operational use time and product variation standard time; Or, based on the productive capacity of production plant, characterize the productive capacity of the enterprise that is formed by production plant.

Described equipment capacity is considered equipment operational use time, equipment work efficiency and standard time, by device model

Determine; Described equipment capacity is considered equipment operational use time, equipment work efficiency and equipment process velocity, by device model

Determine; Wherein, PC _EqFor equipment capacity, F _e() is calendar operational use time function, C _EqFor the equipment calendar, t is planning cycle, F _e(C _Eq ^t) be the equipment operational use time, ε is the equipment work efficiency, T _sFor standard time, V _sFor the equipment process velocity.

Described production line productive capacity is considered production line operational use time and production line beat, by production line model Determine; Wherein, PC _PlFor production line productive capacity, F _e() is calendar operational use time function, C _PlFor the production line calendar, t is planning cycle, F _e(C _Pl ^t) be the production line operational use time, T _tFor the production line beat.

Described production line productive capacity characterizes based on equipment capacity, and production line productive capacity is ${\mathrm{PC}}_{\mathrm{eq}}=\underset{j=1}{\overset{J}{\mathrm{\Σ}}}\frac{F_e\left(C_{\mathrm{eq}}^t\right)\×\mathrm{\ϵ}}{T_{\mathrm{sj}}}$ Or ${\mathrm{PC}}_{\mathrm{eq}}=\underset{j=}{\overset{J}{\mathrm{\Σ}}}{F}_e\left(C_{\mathrm{eq}}^t\right)\×\mathrm{\ϵ}\×V_s^j;$ Wherein, PC _EqFor equipment capacity sum in production line, j=1～J, j are number of devices in production line, and J is positive integer.

Described production ability is considered workshop operational use time and product standard time, by plant model

Determine; Wherein, PC _SfFor production ability, Fe() be calendar operational use time function, C _SfFor Shop Calendar, t is planning cycle,

For workshop operational use time, T _dFor product standard time.

When described production ability characterizes based on production line productive capacity, consider the quantity of Workshop Production operation; If the Workshop Production operation is 1, production ability is production line productive capacity sum; If the Workshop Production operation is greater than 1, production ability is ${\mathrm{PC}}_{\mathrm{sf}}=\mathrm{Min}(\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{l1},\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{l2},...\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{\mathrm{lO}}),$ Wherein, PC _SfFor production ability, PC _PlFor production line productive capacity, l=1～L, l are production line quantity, and L is positive integer, and O is operation quantity.

Described production plant productive capacity is considered production plant's operational use time and product standard time, by production plant's model

Determine; Wherein, PC _FaFor producing plant capacity, Fe() be calendar operational use time function, C _FaFor producing plant calendar, t is planning cycle, F _e(C _Fa ^t) be production plant's operational use time, T _dFor product standard time.

When described production plant productive capacity characterized based on production ability, production plant's productive capacity was

Wherein, PC _FaFor producing plant capacity, PC _SfFor production ability, s=1～S, s are workshop quantity, and S is positive integer, and O is operation quantity.

Described enterprises' production capacity is considered enterprise's operational use time and product standard time, by corporate model

Determine; Wherein, PC _EnFor enterprises' production capacity, Fe() be calendar operational use time function, C _EnFor enterprise's calendar, t is planning cycle, F _e(C _En ^t) be enterprise's operational use time, T _dFor product standard time.

When described enterprises' production capacity characterized based on production plant's productive capacity, enterprises' production capacity was

Wherein, PC _EnFor enterprises' production capacity, PC _FaFor producing plant capacity, f=1～F, f are production plant's quantity, and F is positive integer, and O is operation quantity.

Semiconductor assembly and test production line productive capacity accounting method of the present invention, based on the ISA-95 standard, has been expanded capacity model, based on the capacity model of this expansion, adjusts productive capacity.The method is in two angles of quality and quantity of product, and resource, tissue and time three dimensions, set up production models, and carry out the productive capacity accounting based on this model.This paper the productive capacity accounting method, the productive capacity of enterprise can be described accurately, solved resource and belonged to different tissues, different levels, the problem of different time sections, solved the problem that productive capacity changes in time at any time simultaneously.

The accompanying drawing explanation

Fig. 1 is the three-dimensional space model schematic diagram of productive capacity accounting method of the present invention.

Fig. 2 is the hierarchical relationship figure of productive capacity accounting method of the present invention.

Embodiment

The invention will be further described below in conjunction with concrete accompanying drawing.

The three-dimensional capacity model of the accounting method extension-based of productive capacity of the present invention, as shown in Figure 1, described three-dimensional capacity model comprises organization dimensionality, time dimension and resource dimension.

Organization dimensionality refers to the organization of production structure of enterprise, comprise group, company, factory, workshop, production line/unit, production line/unit is comprised of concrete Enterprise Resource such as concrete people, machine, material again, between organization of production, has parallel, serial, the form such as synchronous.

Time dimension refers to that the time is divided into to year, season, monthly, all, day, order of classes or grades at school etc. produces the period, within the different production periods, carry out the productive capacity accounting, in enterprise, for obtaining the power balance between different organizations of production, different tissues is carried out different production calendars.

Resource dimension is the carrier of productive capacity, and personnel, material, equipment not only have certain ability rating, also have certain process velocity; The former, be skilled worker, semiskilled worker or new hand as personnel, the precision that equipment can be processed, device levels, change machine time, troubleshooting capability, intensity of material etc.; The latter, the quantity difference of processing in the unit interval when different personnel, equipment, materiel machining like products.

The hierarchical relationship of the organization dimensionality of the three-dimensional capacity model after expansion specifically as shown in Figure 2, forms production line/unit by resources of production such as personnel, material, equipment; By a plurality of production line/unit, with parallel, serial or the form such as synchronous, form workshop again, workshop can (be not have the device of physics to connect between the resources of production form by flexible production line/unit, only depend on processes sequentially to retrain) form, can by arranging flow production line/unit, (be also that the resources of production rely on travelling belt, chain connection, be distributed in successively both sides, workpiece or product are passed by on streamline according to certain beat) form; Workshop has formed factory, and factory reconstructs enterprise.

Each symbol mark related in the embodiment of the present invention is as shown in table 1.

Table 1

Symbol	Definition	Symbol	Definition
				f	Factory's quantity	PC en	Enterprises' production capacity
s	Workshop quantity	PC fa	Production plant's productive capacity
				l	Productive unit quantity	PC sf	Production ability
o	Operation quantity	PC pl	Production line productive capacity
				t	Planning cycle	PC pr	Personnel's productive capacity;
i	Teams and groups' number	PC eq	Equipment capacity
				j	Equipment group number of devices	F e()	Calendar operational use time function
C en	Enterprise's calendar	T s	Standard time
				C fa	Plant calendar	V s	Process velocity
C sf	Shop Calendar	T t	The production line beat
				C pl	The productive unit calendar	T d	Representative products standard time
C ps	Personnel's order of classes or grades at school	ξ	Personnel's work efficiency
				C eq	The equipment calendar	ε	The equipment work efficiency

The accounting of productive capacity of the present invention, based on capacity model, is adopted method from bottom to top, and its concrete steps are:

Step 1: according to ability, the rotation system of the resources such as personnel, equipment, material, the productive capacity of accounting personnel, equipment;

When a, computing staff's productive capacity, if personnel are single forms, in planning cycle, personnel's productive capacity is to multiply by personnel's work efficiency the operational use time again divided by standard time, namely so

Perhaps, personnel's productive capacity is to multiply by personnel's work efficiency the operational use time to multiply by the unit interval process velocity, namely ${\mathrm{PC}}_{\mathrm{pr}}=F_e\left(C_{\mathrm{ps}}^t\right)\×\mathrm{\ξ}\×V_s;$

If personnel are teams and groups' forms, teams and groups' productive capacity is everyone productive capacity sum in teams and groups so, namely ${\mathrm{PC}}_{\mathrm{pr}}=\underset{i=1}{\overset{I}{\mathrm{\Σ}}}\frac{F_e\left(C_{\mathrm{ps}}^t\right)\×\mathrm{\ξ}}{T_{\mathrm{si}}}$ Or ${\mathrm{PC}}_{\mathrm{pr}}=\underset{i=1}{\overset{I}{\mathrm{\Σ}}}{F}_e\left(C_{\mathrm{ps}}^t\right)\×\mathrm{\ξ}\×V_s^i;$

When b, computing equipment productive capacity, if equipment is the separate unit form, equipment capacity multiply by the equipment work efficiency again divided by standard time of this device fabrication single products, namely for the operational use time in planning cycle so

Perhaps, equipment capacity is to multiply by the equipment work efficiency operational use time to multiply by the equipment process velocity, namely

In actual production, often press product object or technique object, by the device packets management, this moment, the productive capacity accounting method of variable speed equipment group was the productive capacity sum of all devices in the equipment group, namely ${\mathrm{PC}}_{\mathrm{eq}}=\underset{j=1}{\overset{J}{\mathrm{\Σ}}}\frac{F_e\left(C_{\mathrm{eq}}^t\right)\×\mathrm{\ϵ}}{T_{\mathrm{sj}}}$ Or ${\mathrm{PC}}_{\mathrm{eq}}=\underset{j=1}{\overset{J}{\mathrm{\Σ}}}{F}_e\left(C_{\mathrm{eq}}^t\right)\×\mathrm{\ϵ}\×V_s^j;$

Step 2: the productive capacity of adjusting production line according to the configuration of apparatus for production line;

If production line is the arrangement streamline (is that the resources of production rely on travelling belt, chain connection, be distributed in successively its both sides, workpiece or product are passed by on streamline according to certain beat), the productive capacity of production line is the ratio of production line operational use time and production line beat so, namely

If production line is flexible assembly line (do not have the device of physics to connect between the resources of production, only depend on processes sequentially to retrain), its productive capacity equals the productive capacity of bottleneck processing apparatus group, namely ${\mathrm{PC}}_{\mathrm{eq}}=\underset{j=1}{\overset{J}{\mathrm{\Σ}}}\frac{F_e\left(C_{\mathrm{eq}}^t\right)\×\mathrm{\ϵ}}{T_{\mathrm{sj}}}$ Or ${\mathrm{PC}}_{\mathrm{eq}}=\underset{j=1}{\overset{J}{\mathrm{\Σ}}}{F}_e\left(C_{\mathrm{eq}}^t\right)\×\mathrm{\ϵ}\×V_s^j;$

Step 3: adjust production ability according to the quantity of workshop production line;

If productive capacity the unknown of the production line in workshop, production ability is the ratio of operational use time and mainstream product standard time in workshop so, namely

If the productive capacity of production line is known, production ability is the productive capacity sum of the production line in this workshop, namely ${\mathrm{PC}}_{\mathrm{sf}}=\mathrm{Min}(\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{p1}^{l1},\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{l2},...\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{\mathrm{lO}});$

Step 4: adjust production plant's productive capacity according to the quantity in production plant's internal pair production workshop;

If the productive capacity the unknown in workshop in production plant, the productive capacity of production plant is the ratio of the standard time of operational use time of this factory and mainstream product so, namely

If production ability is known, the productive capacity of production plant is the productive capacity sum that forms the workshop of this production plant, namely ${\mathrm{PC}}_{\mathrm{fa}}=\mathrm{Min}(\underset{s=1}{\overset{S}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{sf}}^{s1},\underset{s=1}{\overset{S}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{sf}}^{s2},...\underset{s=1}{\overset{S}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{sf}}^{\mathrm{sO}});$

Step 5: adjust enterprises' production capacity according to the quantity of the relation between supply and demand between enterprises production plant, production plant;

If productive capacity the unknown of each production plant in enterprise, enterprises' production capacity is

If the productive capacity of production plant is known, enterprises' production capacity is ${\mathrm{PC}}_{\mathrm{en}}=\mathrm{Min}(\underset{f=1}{\overset{F}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{fa}}^{f1},\underset{f=1}{\overset{F}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{fa}}^{f2},...\underset{f=1}{\overset{F}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{fa}}^{\mathrm{fO}}).$

Below according to the productive capacity of certain semiconductor assembly and test enterprise, adjusting example is elaborated.There are three factories in this enterprise, is respectively that (product has three kinds of modes of production, only assembling for encapsulation one factory, encapsulation two factories and test factory, only test, assembling test, for last a kind of mode of production, the product that encapsulation one factory and encapsulation two factories produce all can enter test factory and test processing).Encapsulate a factory and be divided into seven process sections by production technology, be respectively scribing, load, bonding, plastic packaging, plating, print and cut muscle.Encapsulate two factories, according to the process route of product variety, classification of equipment is become to four virtual production lines, adopt the flexible assembly line mode of production.

The qualification capabilities attribute of resource is required to different production phase differences, belong to important link as the abrasive disc stage in scribing, the operator must be that the senior above operative employee of national authentication just can bear, and the grinding tool operation only need common operative employee get final product.In the same bonding stage, bonder only needs the normal operations work to get final product, and the car load vehicle body must be the higher level operation work.

The productive capacity that each organization of production is definite, closely related with organization calendar, it is business year that this enterprise adopts calendar year, calendar mode mainly contains two kinds of administrative class, three-shift systems.Administrative class, man of state of enforcement legal festivals or holidays of system, take 2012 as example, remove two-day weekend, festivals or holidays, and it is 251 that company appraises and decides effective working day in this year, the operational use time 8 hour every day; Three-shift system, early, middle and late class Three, effective working time per shift 8 hours.

As shown in table 2, the third line is the unit interval production capacity UPH(Unit Per Hour of the machine of each operation of semiconductor assembly and test production line) situation, the quantity of all kinds machine that each workshop of rear two behavior semiconductor assembling one factories and assembling two factories comprises.

Table 2

Adjust in detail step as follows:

Step 1, personnel and capacity of equipment are adjusted: this step slightly;

Step 2, production ability are adjusted:

(1) because the productive capacity of every machine in each workshop of encapsulation one factory is known, and workshop does not comprise multiple working procedure, so the productive capacity in each workshop is the productive capacity sum of all machines in workshop, and the work efficiency of equipment is 1, all adopts administrative class; According to

As can be known, the productive capacity in each workshop (being comprised of side by side the plurality of devices group) of encapsulation one factory is:

(a) the scribing workshop of encapsulation one factory:

The productive capacity that encapsulates a brand-name computer device M11 is $\mathrm{PC}_{\mathrm{eq}-h}^{M11}{}_1=8\×1\×2800\×5=112000\mathrm{Unit},$

The productive capacity that encapsulates a brand-name computer device M12 is $\mathrm{PC}_{\mathrm{eq}-h}^{M12}{}_1=8\×1\×2400\×12=230400\mathrm{Unit},$

The productive capacity that encapsulates factory's scribing workshop is $\mathrm{PC}_{\mathrm{sf}-h}^1=\mathrm{PC}_{\mathrm{eq}-h}^1=\mathrm{PC}_{\mathrm{eq}-h}^{M11}{}_1+\mathrm{PC}_{\mathrm{eq}-h}^{M12}{}_1=342400\mathrm{Unit};$

(b) the load workshop of encapsulation one factory:

The productive capacity that encapsulates a brand-name computer device M21 is $\mathrm{PC}_{\mathrm{eq}-z}^{M21}{}_1=8\×1\×4400\×3=105600\mathrm{Unit},$

The productive capacity that encapsulates a brand-name computer device M22 is $\mathrm{PC}_{\mathrm{eq}-z}^{M22}{}_1=8\×1\×5200\×0=0,$

The productive capacity that encapsulates a brand-name computer device M23 is $\mathrm{PC}_{\mathrm{eq}-z}^{M23}{}_1=8\×1\×4700\×6=225600\mathrm{Unit},$

The productive capacity that encapsulates factory's load workshop is

$\mathrm{PC}_{\mathrm{sf}-z}^1=\mathrm{PC}_{\mathrm{eq}-z}^1=\mathrm{PC}_{\mathrm{eq}-z}^{M21}{}_1+\mathrm{PC}_{\mathrm{eq}-z}^{M22}{}_1+\mathrm{PC}_{\mathrm{eq}-z}^{M23}{}_1=331200\mathrm{Unit};$

(c) productive capacity in encapsulation one brand-name computer device M31, M32, M33 and bonding workshop is as follows respectively:

$\mathrm{PC}_{\mathrm{eq}-j}^{M31}{}_1=8\×1\×2200\×6=105600\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-j}^{M32}{}_1=8\×1\×2300\×12=220800\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-j}^{M33}{}_1=8\×1\×2500\×0=0\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-j}^1=\mathrm{PC}_{\mathrm{eq}-j}^1=\mathrm{PC}_{\mathrm{eq}-j}^{M31}{}_1+\mathrm{PC}_{\mathrm{eq}-j}^{M32}{}_1+\mathrm{PC}_{\mathrm{eq}-j}^{M33}{}_1=326400\mathrm{Unit};$

(d) productive capacity in encapsulation one brand-name computer device M41, M42 and plastic packaging workshop is as follows respectively:

$\mathrm{PC}_{\mathrm{eq}-s}^{M41}{}_1=8\×1\×1200\×0=0\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-s}^{M42}{}_1=8\×1\×1300\×32=332800\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-s}^1=\mathrm{PC}_{\mathrm{eq}-s}^{M41}{}_1+\mathrm{PC}_{\mathrm{eq}-s}^{M42}{}_1+=332800\mathrm{Unit};$

(e) productive capacity of encapsulation one brand-name computer device 51,52 and electroplating workshop is as follows respectively:

$\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M51}{}_1=8\×1\×3300\×13=343200\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M52}{}_1=8\×1\×3500\×0=0\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-\mathrm{di}}^1=\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^1=\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M51}{}_1+\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M52}{}_1+=343200\mathrm{Unit};$

(f) encapsulation one brand-name computer device M6 is the productive capacity of printing workshop:

$\mathrm{PC}_{\mathrm{sf}-\mathrm{da}}^1=\mathrm{PC}_{\mathrm{eq}-\mathrm{da}}^1=\mathrm{PC}_{\mathrm{eq}-\mathrm{da}}^{M6}{}_1=8\×1\×4500\×10=360000\mathrm{Unit};$

(g) encapsulation one brand-name computer device M71, M72 and to cut the productive capacity in muscle workshop respectively as follows:

$\mathrm{PC}_{\mathrm{eq}-q}^{M71}{}_1=8\×1\×2800\×0=0\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-q}^{M72}{}_1=8\×1\×3200\×14=358400\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-q}^1=\mathrm{PC}_{\mathrm{eq}-q}^1=\mathrm{PC}_{\mathrm{eq}-q}^{M71}{}_1+\mathrm{PC}_{\mathrm{eq}-q}^{M72}{}_1+=358400\mathrm{Unit};$

2) situation of encapsulation two factories and encapsulation one factory is identical, and the productive capacity in each workshop that therefore obtains encapsulating two factories is as follows:

(a) the scribing workshop of encapsulation two factories:

The productive capacity that encapsulates two brand-name computer device M11 is $\mathrm{PC}_{\mathrm{eq}-h}^{M11}{}_2=8\×1\×2800\×8=179200\mathrm{Unit},$

The productive capacity that encapsulates two brand-name computer device M12 is $\mathrm{PC}_{\mathrm{eq}-h}^{M12}{}_2=8\×1\×2400\×14=268800\mathrm{Unit},$

The productive capacity that encapsulates two factory's scribing workshops is $\mathrm{PC}_{\mathrm{sf}-h}^2=\mathrm{PC}_{\mathrm{eq}-h}^2=\mathrm{PC}_{\mathrm{eq}-h}^{M11}{}_2+\mathrm{PC}_{\mathrm{eq}-h}^{M12}{}_2=448000\mathrm{Unit};$

(b) the load workshop of encapsulation two factories:

Encapsulating two brand-name computer device M21 and productive capacity is $\mathrm{PC}_{\mathrm{eq}-z}^{M21}{}_2=8\×1\×4400\×0=0\mathrm{Unit},$

The productive capacity that encapsulates two brand-name computer device M22 is $\mathrm{PC}_{\mathrm{eq}-z}^{M22}{}_2=8\×1\×5200\×3=124800\mathrm{Unit},$

The productive capacity that encapsulates two brand-name computer device M23 is $\mathrm{PC}_{\mathrm{eq}-z}^{M23}{}_2=8\×1\×4700\×8=300800\mathrm{Unit},$

The productive capacity that encapsulates two factory's load workshops is

$\mathrm{PC}_{\mathrm{sf}-z}^2=\mathrm{PC}_{\mathrm{eq}-z}^2=\mathrm{PC}_{\mathrm{eq}-z}^{M21}{}_2+\mathrm{PC}_{\mathrm{eq}-z}^{M22}{}_2+\mathrm{PC}_{\mathrm{eq}-z}^{M23}{}_2=425600\mathrm{Unit};$

(c) productive capacity in encapsulation two brand-name computer device M31, M32, M33 and bonding workshop is as follows respectively:

$\mathrm{PC}_{\mathrm{eq}-j}^{M31}{}_2=8\×1\×2200\×10=176000\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-j}^{M32}{}_2=8\×1\×2300\×8=147200\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-j}^{M33}{}_2=8\×1\×2500\×4=80000\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-j}^2=\mathrm{PC}_{\mathrm{eq}-j}^2=\mathrm{PC}_{\mathrm{eq}-j}^{M31}{}_2+\mathrm{PC}_{\mathrm{eq}-j}^{M32}{}_2+\mathrm{PC}_{\mathrm{eq}-j}^{M33}{}_2=403200\mathrm{Unit};$

(d) productive capacity in encapsulation two brand-name computer device M41, M42 and plastic packaging workshop is as follows respectively:

$\mathrm{PC}_{\mathrm{eq}-s}^{M41}{}_2=8\×1\×1200\×20=192000\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-s}^{M42}{}_2=8\×1\×1300\×20=208000\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-s}^2=\mathrm{PC}_{\mathrm{eq}-s}^{M41}{}_2+\mathrm{PC}_{\mathrm{eq}-s}^{M42}{}_2+=400000\mathrm{Unit};$

(e) productive capacity of encapsulation two brand-name computer device M51, M52 and electroplating workshop is as follows respectively:

$\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M51}{}_2=8\×1\×3300\×0=0\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M52}{}_2=8\×1\×3500\×15=420000\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-\mathrm{di}}^2=\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^2=\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M51}{}_2+\mathrm{PC}_{\mathrm{eq}-\mathrm{di}}^{M52}{}_2=420000\mathrm{Unit};$

(f) encapsulation two brand-name computer device M6 are the productive capacity of printing workshop:

$\mathrm{PC}_{\mathrm{sf}-\mathrm{da}}^2=\mathrm{PC}_{\mathrm{eq}-\mathrm{da}}^2=\mathrm{PC}_{\mathrm{eq}-\mathrm{da}}^{M6}{}_2=8\×1\×4500\×12=432000\mathrm{Unit};$

(g) encapsulation two brand-name computer device M71, M72 and to cut the productive capacity in muscle workshop respectively as follows:

$\mathrm{PC}_{\mathrm{eq}-q}^{M71}{}_2=8\×1\×2800\×10=224000\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{eq}-q}^{M72}{}_2=8\×1\×3200\×8=204800\mathrm{Unit}$

$\mathrm{PC}_{\mathrm{sf}-q}^2=\mathrm{PC}_{\mathrm{eq}-q}^2=\mathrm{PC}_{\mathrm{eq}-q}^{M71}{}_2+\mathrm{PC}_{\mathrm{eq}-q}^{M72}{}_2+=428800\mathrm{Unit};$

Step 3, plant capacity are adjusted:

Because assembling the productive capacity in each workshop of a factory and assembling two factories obtains, and in factory, each workshop operation is the relation of front and back procedure, and parallel workshop, each workshop, so its productive capacity is of productive capacity minimum in each workshop; According to

As can be known, the productive capacity of encapsulation one factory is:

$\mathrm{PC}_{\mathrm{fa}}^1=\mathrm{Min}(\mathrm{PC}_{\mathrm{sf}-q}^1,\mathrm{PC}_{\mathrm{sf}-z}^1,...,\mathrm{PC}_{\mathrm{sf}-q}^1)=\mathrm{PC}_{\mathrm{sf}-j}^1=326400\mathrm{Unit},$

The productive capacity that encapsulates two factories is:

$\mathrm{PC}_{\mathrm{fa}}^2=\mathrm{Min}(\mathrm{PC}_{\mathrm{sf}-q}^2,\mathrm{PC}_{\mathrm{sf}-z}^2,...,\mathrm{PC}_{\mathrm{sf}-q}^2)=\mathrm{PC}_{\mathrm{sf}-s}^2=400000\mathrm{Unit};$

Step 4, enterprises' production capacity are adjusted:

Due to its theoretical bottleneck of semiconductor assembly and test enterprise, be the production capacity of encapsulate machine, test factory is artificial production, its productive capacity can be regulated neatly by interim overtime work or recruitment new employee with respect to maquila, so need not consider to test the productive capacity of factory, the productive capacity of enterprise is the productive capacity sum of encapsulation one factory and encapsulation two factories; By ${\mathrm{PC}}_{\mathrm{en}}=\mathrm{Min}(\underset{f=1}{\overset{F}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{fa}}^{f1},\underset{f=1}{\overset{F}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{fa}}^{f2},...\underset{f=1}{\overset{F}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{fa}}^{\mathrm{fO}})$ As can be known:

Enterprises' production capacity is ${\mathrm{PC}}_{\mathrm{en}}=\mathrm{Min}\left(\underset{i=1}{\overset{2}{\mathrm{\Σ}}}\mathrm{PC}_{\mathrm{fa}}^i\right)=\underset{i=1}{\overset{2}{\mathrm{\Σ}}}\mathrm{PC}_{\mathrm{fa}}^i=726400\mathrm{Unit}.$

Claims (10)

1. a various dimensions stratification productive capacity accounting method, is characterized in that, said method comprising the steps of:

Step 1: use device model to characterize the equipment capacity that changes with equipment operational use time, equipment work efficiency and standard time or equipment process velocity;

Step 2: use production line model to characterize the production line productive capacity that changes with production line operational use time and production line beat; Or, based on equipment capacity, characterize the production line productive capacity that is formed by equipment;

Step 3: use plant model to characterize the production ability with workshop operational use time and product variation standard time; Or, based on the productive capacity of production line, characterize the production ability that is formed by production line;

Step 4: use production plant's model to characterize the production plant's productive capacity with production plant's operational use time and product variation standard time; Or, based on the productive capacity in workshop, characterize the productive capacity of the production plant that is formed by workshop;

Step 5: use corporate model to characterize the enterprises' production capacity with enterprise's operational use time and product variation standard time; Or, based on the productive capacity of production plant, characterize the productive capacity of the enterprise that is formed by production plant.

2. various dimensions stratification productive capacity accounting method as claimed in claim 1 is characterized in that: described equipment capacity is considered equipment operational use time, equipment work efficiency and standard time, by device model

Determine; Described equipment capacity is considered equipment operational use time, equipment work efficiency and equipment process velocity, by device model

Determine; Wherein, PC _EqFor equipment capacity, F _e() is calendar operational use time function, C _EqFor the equipment calendar, t is planning cycle, F _e(C _Eq ^t) be the equipment operational use time, ε is the equipment work efficiency, T _sFor standard time, V _sFor the equipment process velocity.

3. various dimensions stratification productive capacity accounting method as claimed in claim 1 is characterized in that: described production line productive capacity is considered production line operational use time and production line beat, by production line model

Determine; Wherein, PC _PlFor production line productive capacity, F _e() is calendar operational use time function, C _PlFor the production line calendar, t is planning cycle, F _e(C _Pl ^t) be the production line operational use time, T _tFor the production line beat.

4. various dimensions stratification productive capacity accounting method as claimed in claim 2, it is characterized in that: described production line productive capacity characterizes based on equipment capacity, and production line productive capacity is

Or

Wherein, PC _EqFor equipment capacity sum in production line, j=1～J, j are number of devices in production line, and J is positive integer.

5. various dimensions stratification productive capacity accounting method as claimed in claim 1 is characterized in that: described production ability is considered workshop operational use time and product standard time, by plant model

Determine; Wherein, PC _SfFor production ability, Fe() be calendar operational use time function, C _SfFor Shop Calendar, t is planning cycle, For workshop operational use time, T _dFor product standard time.

6. various dimensions stratification productive capacity accounting method as claimed in claim 3, is characterized in that: when described production ability characterizes based on production line productive capacity, consider the quantity of Workshop Production operation; If the Workshop Production operation is 1, production ability is production line productive capacity sum; If the Workshop Production operation is greater than 1, production ability is ${\mathrm{PC}}_{\mathrm{sf}}=\mathrm{Min}(\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{l1},\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{l2},...\underset{l=1}{\overset{L}{\mathrm{\Σ}}}{\mathrm{PC}}_{\mathrm{pl}}^{\mathrm{lO}}),$ Wherein, PC _SfFor production ability, PC _PlFor production line productive capacity, l=1～L, l are production line quantity, and L is positive integer, and O is operation quantity.

7. various dimensions stratification productive capacity accounting method as claimed in claim 1 is characterized in that: described production plant productive capacity is considered production plant's operational use time and product standard time, by production plant's model

Determine; Wherein, PC _FaFor producing plant capacity, Fe() be calendar operational use time function, C _FaFor producing plant calendar, t is planning cycle, F _e(C _Fa ^t) be production plant's operational use time, T _dFor product standard time.

8. various dimensions stratification productive capacity accounting method as described as claim 5 or 6, it is characterized in that: when described production plant productive capacity characterized based on production ability, production plant's productive capacity was

Wherein, PC _FaFor producing plant capacity, PC _SfFor production ability, s=1～S, s are workshop quantity, and S is positive integer, and O is operation quantity.

9. various dimensions stratification productive capacity accounting method method as claimed in claim 1 is characterized in that: described enterprises' production capacity is considered enterprise's operational use time and product standard time, by corporate model

Determine; Wherein, PC _EnFor enterprises' production capacity, Fe() be calendar operational use time function, C _EnFor enterprise's calendar, t is planning cycle, F _e(C _En ^t) be enterprise's operational use time, T _dFor product standard time.

10. various dimensions stratification productive capacity accounting method as claimed in claim 8, it is characterized in that: when described enterprises' production capacity characterized based on production plant's productive capacity, enterprises' production capacity was

Wherein, PC _EnFor enterprises' production capacity, PC _FaFor producing plant capacity, f=1～F, f are production plant's quantity, and F is positive integer, and O is operation quantity.