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Customers

F.O1

Abstract

Outsourci

industrial partnership, in the form of a network.

Customer

1 Introduction

The supply chain management. 1 of a company research fields can be subsequently identified: management of the demand, partnership et al. et al. negotiate commitments based on costs, resource availability, lead times, and other variables. et a situation of supplying or subcontracting et al. 2000). The Co , which ensures the exchange of messages through the network. The The Interaction Module, which allows the assignment

The Performance Module,

estimate its own capacity to respon performance allows a real differentiation the order assignment solutions, 2 S

The objective of

cheeking et al. et al.

2.1 How to decide which

Traditionally, the selection and evaluation of suppliers has been made et al. et al. et al. ). multiple criteria et al

2.2 Analytic Hierarchy Process (AHP): A multi

The AHP is a method for complex multi

Phase 1t

makers to structure the significant components of a pro k k,j k; Ali

Phase 2t

specify the importance of a given element compared to another one. The

Phase 3 th

Phase 4 t

Human which are the most y

2.3 Advantages of using AHP for the evaluation of the

The A procedure. In order to apply AHP to the

3 Evaluation of the

The formalization of the various criteria

et al. et al. et al.

weights of elements involved in supplier assessment are 44% quality, 36% delivery on time, 24% overall costs,

19% services, 6% technology and less th

3.1 Elaboration of criteria and indicators

The application of the multi

s seen in figure .

Identifying a field of measurement

the capacity 3

The objectives make the measurement meaningful..

I T needs 3 I [Insert f

Identification of criteria and indicators

Though the indicator is a promising tool in theory, it still 1

The objective of this criterion is to ensure that the customer receives delivery as quickly as possible. The delay

Lead time11: 11

12: 12

et al. 32
The objective of this criterion is to ensure delivery at the best price. 2:I2 et al. 2: 2 3

The objective of t

Aet al. . The

Rate of conformity31: 31

et al. Aet al.

Respect of 32: 32

A et al.

33: 33

number of deliveries 4 R

41: 41

Aet al.

Respect 42: 42

5

Allowance of differed 51: 51

52:

4 Applying AHP to supplier evaluation: an i

In the sequel an example

able . [Insert t The performance module of each holon (potential supplier), having received these Calls For Proposal

4.1 Phase 1: Building a hierarchical process for supplier evaluation

The first phase in applying the AHP method is to build a hierarchical process for igure . [Insert f The

We have identified in

Level 4 identifies the different calls for proposals (called alternatives in AHP) to be c

4.2 Phase

In this phase we

wh D [Insert table

In this phase we

[Insert table In this phase we also assess for each alternative ( able . The [Insert table

In what follows we apply

05626
kof the indicators of each k: 25
1ICr 25
2ICr 20 3ICr 75
4ICr 83
5ICr i; i=1,2,3i; i=1,2,3 k,j Î 29
1AlI 23
2AlI 23
1AlI 23
2AlI 33
1AlI 33
2AlI 33
3AlI 33
1AlI 33
2AlI 33
1AlI 33
2AlI

4.3 Phases 4:

Phase columns in the above A 33
AlCr

4.4 Results

Considering this matrix and the vector of relative importan able .

Alternatives

GeneralObjective :

21
AlGOb [Insert table The same calculations are done for suppliers S2 and S3.

5 Conclusion and discussions

If the optimization of logistic networks is to be implemented efficiently, a change in attitude and philosophy is

an increase of the volume of production. It requires a multi

Over the last years

logistics; partnership sourcing and electronic data interchange (Maull and Childe 1994). So in the future we will

The communication module: indeed, we have to manage the communications between the different holons as

The addition of a simulation modu

6 References

BERRAH, L., and VERNADAT, F.

26.

Computers In Industry, 43, 123137.

Indicateurs de performances(

Production

, 14, (5), 399409.

International Journal of

, 98, 315327.

Journal of

, 14, 333343. Performance 4e Congrès International Franco , pp. 875887.

Journal of Entreprise

, 17, (1), 819.

Journal of Purchasing, 2, (1), 517.

International Jo, 50, 91104.

Production Planning & Control,

15, (6), 584595.

The art and science of decision making: The Analytic Hierarchy Proc

JAYARAMAN, V., SRIVASTAVA, R., and BENTON, W.C., 1999, Supplier selection and order quantity allocation: A

Journal of Supply Chain Management, 35, (2), 5058.

International

, 13, (1), 3142.

The ghost in the machine

Partnership Network.

quotesdbs_dbs4.pdfusesText_7

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