Study On Manufacture Resource Evaluating System Of the ASPbased Platform

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Study On Manufacture Resource Evaluating System
Of the ASP-based Platform
Prof. XIE Qing-sheng
CAD/CIMS Institute Guizhou University, China Tel
86-851-4731888 Email qsxie_at_gzcad.com
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Contents

• 1. Introduction
• 2. The Synthesis Evaluation System of
  Manufacturing Resources
• 3. Synthesis Evaluation algorithm of Manufacture
  Resources
• 4. Conclusion

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Introduction

• The formation of network economic
  environment has transformed the traditional
  manufacture industry competition between
  individual enterprisers into the competition
  between supply chain and industry chain, in which
  enterprisers share complementary advantages and
  resources optimization. Virtual enterprise is a
  temporary enterprise alliance which is leaded by
  the enterprise leader and joined by several
  alliance enterprises, when a market opportunity
  is appeared.

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Introduction

• Application Service Provider (ASP) is
  a kind of business operation mode and a service
  platform which provides third-party software and
  hardware application service via internet for
  customers. The successful operation of a virtual
  enterprise relies on the selection of alliance
  enterprises. On the ASP-based platform, the
  enterprise leader can fulfill the tasks of
  preliminary selection of alliance enterprises,
  information release, and optimal selection , by
  using the relative functions provided by the
  platform.

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Introduction

• The basic work of enterprise
  selection is evaluation. The most commonly-used
  evaluation methods are as follows fuzzy
  evaluation method, analytic hierarchical
  process(AHP), multi-objective programming, neural
  network method etc. The efforts made in this
  paper lies on establishing a manufacture
  resources evaluation system based on ASP
  platform presenting two-stage decision model of
  selecting manufacture resource making use of
  linear mapping to realize a quantification
  measurement of the corresponding relationship
  between detailed value and gradation level
  realizing the optimal selection of manufacturing
  resources based on AHP.

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Contents

• 1. Introduction
• 2. The Synthesis Evaluation System of
  Manufacturing Resources
• 3. Synthesis Evaluation algorithm of Manufacture
  Resources
• 4. Conclusion

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2.1 The Forming Process of Virtual Enterprise

• A market opportunity may be a
  product, may also be a task of designing, or
  manufacturing or assembling. For a product, the
  alliance leader enterprise may invite public
  bidding as whole. And the whole task can also be
  divided into design, manufacture and assembling,
  each task can be further divided into several
  self-accomplished tasks(SAT) and several
  subcontract tasks. And then the alliance leader
  enterprise invites public bidding for the
  subcontract tasks. The product task decomposition
  tree is illustrated in Figure 1.

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2.1 The Forming Process of Virtual Enterprise
Product
manufacture
assembly
design
SAT
EBT
EBT
EBT
SAT
SAT



EBT 1
EBT 1
EBT 1
EBT N
EBT P
EBT M
Fig1 decomposition tree of product task
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2.1 The Forming Process of Virtual Enterprise

• Generally the smaller the
  granularity of the product task decomposed is,
  the shorter the accomplishing time will be, but
  with a higher cost. Therefore a reasonable
  breaking up the task has a great influence on
  final manufacturing cost and effect. For
  subcontract tasks, release the bidding invitation
  information to the potential alliance
  enterprises. And then make use of manufacture
  resources synthesis evaluation system to
  accomplish the selection of optimal alliance
  enterprises according to the tender information
  fed back in the stipulated time. The optimal
  alliance enterprises corresponding to respective
  subcontract tasks hence forming a virtual
  enterprise to face a certain market opportunity.
  Of course, the virtual enterprise formed by this
  way is not the optimal virtual enterprise in an
  overall sense.

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2.1 The Forming Process of Virtual Enterprise

• With ASP platform, the alliance
  leader enterprise can use the functions provided
  by the platform such as alliance enterprise
  preliminary selection, information release, and
  optimal alliance enterprise selection to realize
  alliance enterprise preliminary selection,
  information release and weighed optimal alliance
  enterprise selection.
• Worthy to be noticed, though the
  ASP platform provides algorithm and computer
  programmed for optimal alliance enterprise
  selection, it makes determinations based on the
  information and data which is uploaded and
  transmitted to ASP platform by alliance
  enterprise and then stored in the data base of
  the platform. Therefore the truth of some crucial
  information such as the original annual
  examination of enterprise business license, the
  original accounting statement issued by
  accountant office etc. must be verified before
  signing a formal contract.

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2.2. Two-stage Decision Model of Manufacture
Resources

• Theoretically, all the registered
  enterprises on the ASP platform are the potential
  alliance enterprises. As different task requires
  different manufacturer, there is a need to set up
  some qualification conditions for the
  manufacturers to meet before they become
  candidate enterprises and before the client
  extends bidding invitation to them. And the
  client, after receiving the tender information
  fed back, selects the optimal alliance enterprise
  based on the evaluation conditions. Because of
  this, the two-stage decision model is invested.
  The first-stage of decision model is for the
  preliminary selection of alliance enterprises,
  while the second-stage model is for the optimal
  selection of the alliance enterprises. The
  information used by the model are from the tender
  information of the candidate enterprises and
  manufacture resources collection module.

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2.2. Two-stage Decision Model of Manufacture
Resources
Fig2 Positive Index Linear
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2.2. Two-stage Decision Model of Manufacture
Resources
Table 1a Qualification term for candidates
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2.2. Two-stage Decision Model of Manufacture
Resources
Table 1b Condition adjustable for candidates
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2.2. Two-stage Decision Model of Manufacture
Resources
Table 1b Condition adjustable for candidates
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2.2. Two-stage Decision Model of Manufacture
Resources

• Table 1 lists the inspecting items
  of the first-stage model. In it, Table 1a
  represents the qualification conditions for the
  candidate enterprises to meet. Table 1b deals
  with the conditions adjustable in accordance with
  actual situation. By using compound inquiry, the
  optimal alliance enterprise can be selected.
• After receiving the bidding
  information from the candidate enterprises, using
  the second-stage model to conduct a synthesis
  evaluation to select the optimal alliance
  enterprise by their replies concerning processing
  time, price offer, technological condition
  deviation, after-sale service promise etc

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2.2. Two-stage Decision Model of Manufacture
Resources

• Table 2 lists the reviewing items
  of the second-stage model. In Table 2, most of
  the indexes are belong to fixed quantitive index.
  And for those qualitative indexes, corresponding
  grades can be obtained by adopting certain
  grading rules. Here it adopts 4-level grading
  standard lack of one item 0 optimal 3. As for
  the quantitative indexes, their grades are
  determined by means of linear mapping approach.
  Its principle is illustrated as in Fig 2. Among
  them, for the positive quantitative indexes (for
  example, equipment amounts), the lowest grade is
  1, and the highest value is 3. The grade of other
  values for positive quantitative index is

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2.2. Two-stage Decision Model of Manufacture
Resources

• Please notice that time is not listed
  in table 2 as an evaluation index. Here it adopts
  the thoughts of JIT ( just in time), that is, the
  tender enterprise must provide service in
  accordance with the time requirement. Otherwise,
  it will be considered not responsive to the
  biding, therefore will be called off its
  evaluation qualification.

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Contents

• 1. Introduction
• 2. The Synthesis Evaluation System of
  Manufacturing Resources
• 3. Synthesis Evaluation algorithm of Manufacture
  Resources
• 4. Conclusion

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3.1. Weighing Measurement of Various Index

• Table 2 lists out 25 evaluation
  indexes in 7 aspects and their grading methods.
  When the opportunity is a product and when it
  calls for bidding as a whole, adopt B1, B2, B3,
  B4, B5 to evaluate and select the optimal
  enterprise. When the market opportunity is a task
  of design, manufacturing, or assembling, or when
  a product is broken down into design,
  manufacturing, and assembling tasks, adopt B3,
  B5, B6 to give evaluation and select the optimal
  design enterprise, adopt B2, B3, B5 to select
  optimal processing enterprise, and adopt B3, B5,
  and B67to select optimal assembling enterprise.

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3.1. Weighing Measurement of Various Index

• Since different alliance leader
  enterprise has different concern about various
  indexes, it is necessary to determine the weight
  of various index according to detailed
  requirement.ASP platform provides the function of
  deciding weight by the users.

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3.1. Weighing Measurement of Various Index

• Analytic hierarchical process AHP is
  an effective tool for determining the weight of
  index. Its main thought is break down a
  complicated multi-rule evaluation problem into an
  evaluating index with hierarchical structure.
  Make importance comparison between twain elements
  in the same level to form judgment matrix. Then
  make use of the method of working out matrix
  eigenvector obtain the weight of each levels
  various element to one element of the higher
  level. And then adopting method ranking merging
  of weighed summation to work out the weight of
  the levels various elements to overall objective.

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3.1. Weighing Measurement of Various Index
Fig3 optimal product enterprise evaluation
hierarchical structure
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3.1. Weighing Measurement of Various Index

• Fig3 illustrates the step
  hierarchical structure of the optimal product
  enterprise, hereby, the judgment matrix of
  various layers elements to superstratum element
  and corresponding weight can be obtained. (table
  3).
• When forming the judgment matrix,
  the importance degrees of elements are indicted
  by number from 1 to 9. 1 represents the same
  importance of two elements, while 9 represents
  one element is extremely greater in importance
  than the other one. Evidently, to judge the
  importance degree between two elements is a
  rather fuzzy process and hard to represent this
  relationship with accurate data. Therefore to
  determine the graduation artificially is
  subjective and random. To avoid the confliction
  of importance degree between two elements, it is
  advisable to conduct a consistency test toward
  the matrix. When the random consistency rate Cr
  lt0.1, the random of the matrix is acceptable,
  otherwise it needs a modification.

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3.1. Weighing Measurement of Various Index
Table 3a A-B jugement matrix(Cr0.045)
Table 3b B1-C jugement matrix (Cr0.0298))
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3.1. Weighing Measurement of Various Index
Table 3c B2-C jugement matrix (Cr0.017)
Table 3d B4-C jugement matrix (Cr0.023)
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3.1. Weighing Measurement of Various Index
Table 3e B5-C jugement matrix (Cr0.0531)
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3.2. Comprehensive Sequencing of Manufacture
Resources

• Suppose the alliance leader enterprise
  plans to call for a public bidding for one
  product as a whole, and there are three
  enterprises have replied to the bidding. Many
  experts are invited to grade them online by
  virtue of these 20 indexes from B1 to B5. And
  then average value of the experts grading values,
  Mm1,m2,,m20, will be the final score.(table
  4). Therefore, the comprehensive sequencing of
  manufacture resources is RWCAMT
• According to table 4, R2gtR1gtR3,
  Enterprise 2 will be the optimal alliance
  enterprise for the whole product public bidding.

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3.2. Comprehensive Sequencing of Manufacture
Resources
Table 4 Expert grading average value and
comprehensive sequencing
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Contents

• 1. Introduction
• 2. The Synthesis Evaluation System of
  Manufacturing Resources
• 3. Synthesis Evaluation algorithm of Manufacture
  Resources
• 4. Conclusion

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Conclusion

• This paper has studied the
  comprehensive manufacture resources evaluation
  system of ASP-based platform. Since it has
  considered the operation reality of project
  contract of manufacture enterprise, and has
  borrowed idea from the bidding evaluation of
  bidding company, its decision-making model is
  more practical. It puts forward a two-stage
  decision model of manufacture resources
  selection.

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Conclusion

• The first-stage
  model can realize the preliminary selection of
  manufacture resources, while the second-stage
  model can accomplish the optimal alliance
  enterprise selection faced with different market
  opportunities. It also puts forward a
  quantitative measurement of relationship between
  quantitative index value and grading ranks by
  using linear mapping method. It is able to
  realize the weight calculation of the evaluation
  index by using analytic hierarchical process
  (AHP), and further ale to adjust the weight
  distribution according to the real situation,
  make use of weighted summation to realize the
  optimum selection of manufacture resources.

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Thanks!