"Collective Impact of Scrap, Random Breakdown, Overtime and Discontinuo" by Yuan-Shyi Peter Chiu, Jia-Ning Lin et al.
 

Document Type

Article

Publication Date

9-22-2021

Journal / Book Title

Uncertain Supply Chain Management

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’

Comments

This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/).

DOI

10.5267/j.uscm.2021.9.009

Journal ISSN / Book ISBN

ISSN 2291-6830

Published Citation

Chiu, Y., Lin, J., Wang, Y & Chen, H. (2022). Collective impact of scrap, random breakdown, overtime and discontinuous issuing on batch production planning in a supply-chain environment.Uncertain Supply Chain Management, 10(1), 181-196.

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