Production Planning: Advanced Issues and Implications

Production Planning: Advanced Issues and Implications

Kijpokin Kasemsap (Suan Sunandha Rajabhat University, Thailand)
Copyright: © 2017 |Pages: 23
DOI: 10.4018/978-1-5225-2036-8.ch003
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Abstract

This chapter explains the overview of production planning; the issues of remanufacturing production planning and control; Advanced Production Planning and Scheduling (APPS) and Radio Frequency Identification (RFID); production planning conflict resolution and optimization models; production planning and emission constraints; production planning and quality management; production planning and Cellular Manufacturing System (CMS); production planning in the steel industry; production planning in the energy industry; and production planning in the chemical process industry. The purpose of production planning is to organize the resources in order to efficiently manage the production costs, time, and staffing in the business operations. The individual in charge of production planning adjusts the workforce and process flow to obtain the regular utilization of organizational resources with minimal downtime, minimal bottlenecks, and a level of output consistent with all the resources being put into the manufacturing processes.
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Background

Nowadays, most manufacturing companies produce a wider range of products and provide the greater new products more quickly by emphasizing market requirement (Gholamian, Mahdavi, Tavakkoli-Moghaddam, & Mahdavi-Amiri, 2015). Supply chain is the complex business entity that has a high degree of uncertainty, which is based on its real-world characteristics (Zarandi, Turksen, & Saghiri, 2002), so that uncertainty is the critical factor, which can affect the configuration and coordination of supply chains (Davis, 1993). Davis (1993) introduced three different sources of uncertainty in supply chains, which these sources are supply, process, and demand uncertainty. Defective raw materials received from suppliers or delays in the supplying are the important factors, which cause uncertainty in supply. Process uncertainty results from machine breakdowns, whereas demand uncertainty is the most serious perspective from other sources (Davis, 1993).

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