Supply chain management with market economics

Kaihara, Toshiya

doi:10.1016/s0925-5273(01)00092-5

Cited by 74 publications

(23 citation statements)

References 2 publications

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“…Agent technology provides methods of integrating the entire SC as a networked system of independent echelons, each of which utilises its own decision-making procedure [78]. Through this paradigm, a global goal of the whole system is achieved as the aggregation of their local objectives with their negotiation [79]. In a MAS, a number of heterogeneous agents are working independently, or in a cooperative and interactive manner to solve problems in a decentralised environment.…”

Section: Multi-agent Systemmentioning

confidence: 99%

The future trend on system-wide modelling in supply chain studies

Chan

2004

Int J Adv Manuf Technol

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Although supply chain (SC) has gained increasing attention in the last decade and numerous SC problems have been identified and solved, there is a lack of systematic approach to solve SC problems at a system level. SC can be viewed as a network of organisations including, but not restricted to, the suppliers (source of raw materials), manufacturers, distributors, retailers, and end customers. Each entity is able to process different tasks individually in order to satisfy the global goal of the network, which is usually the total cost or lead time of a set of products. If only inter-entity problems are solved, like inventory level, production planning, etc., the performance of the whole system is not guaranteed to be acceptable. The main objective of this paper is to review contemporary SC problems and the methodologies in solving them, and to suggest future research direction for solving supply chains problems. From the analysis of the review, it can be concluded that there is limited research to solve SC problems from a "system" point of view. In this connection, future direction in solving system-wide SC, and the potential difficulties, are discussed. This allows readers to gain insights in the future research direction in the area of supply chain management.

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Section: Multi-agent Systemmentioning

confidence: 99%

The future trend on system-wide modelling in supply chain studies

Chan

2004

Int J Adv Manuf Technol

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“…Studies and models on trade/market/price systems of self-organization and equilibrium are usually detailed insights which consider one or a few aspects of the market or chain dynamics such as price fixing (Gale 1987, Donangelo et al 2000, Calvó-Armengol 2003, Zhu 2004, trade-offs and negotiation mechanisms (Faratin et al 2002, Lemke 2004, interaction schemes and the network configuration of markets (Guriev and Shakhova 1996, Iori 2002, Vriend 2004, decentralization effects (Calvó-Armengol 2003), multiple levels of exchange such as in sup-ply chain models (Kaihara 2001, Dangelmaier et al 2002, and the interaction between prices and consumption (Nagel et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Emergence of a Self-Organized Dynamic Fishery Sector: Application to Simulation of the Small-Scale Fresh Fish Supply Chain in Senegal.

Fur

2006

Lecture Notes in Economics and Mathematical Systems

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“…In market-oriented programming we take the metaphor of an economy computing multi-agent behaviour literally, and directly implement the distributed computation as a market price system. In a market-oriented programming approach to distributed problem solving, the resource allocation for a set of computational agents is derived by computing competitive market of an artificial economy (Wellman, 1996), (Kaihara eta/., 1999a), (Kaihara, 1999b). In this paper we formulate supply chain model as a discrete resource allocation problem with supply/demand agents, and demonstrate the applicability of economic analysis to this framework by simulation experiments.…”

Section: Introductionmentioning

confidence: 99%