Order Release Strategies for Customer Order Scheduling Problems in Dynamic Environments

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Author(s): Paolo Renna (University of Basilicata, Italy)
Copyright: 2013
Pages: 21
Source title: Business Strategies and Approaches for Effective Engineering Management
Source Author(s)/Editor(s): Saqib Saeed (Department of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia), Mohammad Ayoub Khan (Centre for Development of Advanced Computing, India)and Rizwan Ahmad (Qatar University, Qatar)
DOI: 10.4018/978-1-4666-3658-3.ch001

Keywords: Business Science Reference / Industrial Engineering / Operations and Service Management / Science & Engineering

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Abstract

The research proposes two strategies to release the parts in a job shop environment to handle the customer order-scheduling problem. The first strategy is based on the evaluation of a dynamic conwip level to take the decision. The second strategy tries to anticipate the production of components of a generic order when the utilization of the manufacturing system is low. In this strategy, a fuzzy approach is proposed to decide how many components to release. A simulation environment has been developed to test the proposed approaches. Two benchmark models are used to compare the performance measures: no order release strategy and classical conwip. Moreover, the simulations are conducted in a very dynamic environment. The simulation results show how the fuzzy approach leads to the better results in all conditions tested with a relevant reduction of the inventory level.

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Order Release Strategies for Customer Order Scheduling Problems in Dynamic Environments

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