Implementing information sharing can help supply chain to deal with uncertainty, which lies behind interactions between supply chain participants. The research results suggested that there are three categories must be considered in implementing information sharing in convergent assembly supply chain. The first mandate is associated with planning the mechanism of interorganizational coordination...

integrated production-distribution planning (pdp) is one of the most important approaches in supply chain networks. we consider a supply chain network (scn) to consist of multi suppliers, plants, distribution centers (dcs), and retailers. a bi-objective mixed integer linear programming model for integrating production-distribution designed here aim to simultaneously minimize total net costs in ...

In this paper we examine, how the benefits of Supply Chain Management, as announced by the literature and widely accepted, can simulatively be proven. We first present selected results of a survey conducted on the European automotive industry, which show an evident need for transparency, in terms of the quantification of the added-value of Supply Chain Management. For this purpose we introduce ...

Purpose of this paper This paper studies how companies can select a supply chain planning mechanism to improve the balance between material flow and information flow. Design/methodology/approach The methodology of the paper is an inductive case study approach. Coordination theory is used as a background for the paper. Based on a literature survey, determinants of the selection of a supply chain...

This paper presents a competitive supply chain network design problem in which one, two, or three supply chains are planning to enter the price-dependent markets simultaneously in uncertain environments and decide to set the prices and shape their networks. The chains produce competitive products either identical or highly substitutable. Fuzzy multi-level mixed integer programming is used to mo...

As companies increasingly customize their products, move towards smaller lot production and experiment with more flexible customer/supplier arrangements, they increasingly require the ability to respond quickly, accurately and competitively to customer requests for bids on new products and efficiently work out supplier/subcontractor arrangements for these new products. This in turn requires the...

A multi-objective two stage stochastic programming model is proposed to deal with a multiperiodmulti-product multi-site production-distribution planning problem for a midterm planning horizon. The presented model involves majority of supply chain cost parameters such as transportation cost, inventory holding cost, shortage cost, production cost. Moreover some respects as lead time, outsourcing,...

This paper focuses on the development of simulation-based environment for multi-echelon cyclic planning and optimisation in the product maturity phase. It is based on integration of analytical and simulation techniques. Analytical techniques are used to obtain initial planning decisions under conditions of stochastic demand and lead time, whereas simulation techniques extend these conditions to...

This research work develops a decision support model for a network design problem concerning a spare parts closed loop supply chain. It involves the formulation of an optimization model that takes on a mid to long-term planning perspective and covers decisions that have lasting and binding impact on organizational performance. These decisions include investment, location assignment, and invento...