Collective impact of scrap, random breakdown, overtime and discontinuous issuing on batch production planning in a supply-chain environment

Yuan Shyi Peter Chiu, Jia Ning Lin, Yunsen Wang, Hung Yi Chen

Research output: Contribution to journalArticlepeer-review

Abstract

This research explores the collective impact of overtime, random breakdown, discontinuous issuing rule, and scrap on batch production planning in a supply-chain environment. In today’s global business environment, manufacturing firms encounter numerous operational challenges. Externally, they must promptly satisfy the customers’ various requests, while internally, they must cautiously manage several inevitable issues in the fabrication process. These issues might be concerned with scrap, random breakdown, etc. Resolving such issues is crucial for meeting the due dates of customers’ orders, adhering to the expected manufacturing schedules, product quality, and minimizing the total fabrication-transportation-inventory costs. The study develops a model to characterize the system’s features mentioned above and assist the manufacturers with batch fabrication planning. The model proposes a solution process with an algorithm seeking an optimal runtime for the system. Additionally, it gives a numerical illustration depicting the collective and individual impacts of these special features on the operating policy and other performance indices. This model and the research findings can facilitate manufacturers’ decision-making for green batch fabrication and enhance competitive advantage.

Original languageEnglish
Pages (from-to)181-196
Number of pages16
JournalUncertain Supply Chain Management
Volume10
Issue number1
DOIs
StatePublished - 2022

Keywords

  • Overtime
  • Production planning
  • Random breakdowns
  • Replenishing runtime
  • Scrap
  • Supply chain

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