Simulation-Based Analysis and Optimisation of Planning Policies over the Product Life Cycle within the Entire Supply Chain
نویسندگان
چکیده
The paper presents simulation-based methodology for analysis and optimisation of multiechelon supply chain planning policies over the product life cycle. It is aimed to analyse an efficiency of a specific planning policy at the product life cycle phases and to optimise the cyclic planning policy at the product maturity phase. Specific software prototypes and applications are described in the paper. The presented research is funded by the ECLIPS Specific Targeted Research Project of the European Commission "Extended Collaborative Integrated Life Cycle Supply Chain Planning System".
منابع مشابه
Performance evaluation of SCM using DEA: A review
Over the years we have witnessed the growing importance of supply chain operations and supply chain management (SCM), as supply chains play a major role in every step of the product life cycle. Therefore, this paper will DEA-based performance evaluation approaches for overall supply chain can be categorized. Future perspectives and challenges are discussed
متن کاملTwo-phase Simulation Optimisation Procedure with Applications to Multi-echelon Cyclic Planning
This paper describes a two-phase simulation-based optimisation procedure that integrates the Genetic Algorithm and Response Surface-based Linear Search algorithm for developing optimal power-of-two replenishment policy in multi-echelon environment during the maturity phase of the life cycle of a product. The problem involves a search in high dimensional space with different ranges for decision ...
متن کاملDevelopment of Simulation-based Environment for Multi-echelon Cyclic Planning and Optimisation
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...
متن کاملSimulation-based Switching Algorithm for Inventory Management in a Multi-echelon Supply Chain
Cyclic or non-cyclic planning policies are traditionally used to manage inventories in a multiechelon supply chain. Evaluation of the difference between performances of cyclic and non-cyclic planning policies allows analysing an efficiency of a specific planning policy at the product life cycle specific stage, and provides a control mechanism to switch from one to another policy. The paper is a...
متن کاملTactical and operational planning for socially responsible fresh agricultural supply chain
Addressing an integrated decision-making structure for planting and harvesting scheduling may lead to more realistic, accurate, and efficient decision in fresh product supply chain. This study aims to develop an integrated bi-objective tactical and operational planning model for producing and distributing fresh crops. The first objective of the model is to maximize total revenue of supply chain...
متن کامل