The widespread implementation of lean in discrete manufacturing has changed the face of those businesses with mechanisms such as setup reduction, bounded WIP, takt time, level scheduling and other elements of pull production aimed at reducing variation to create flow with minimal inventory, improving lead time, cost and service. While in the process industries, much is written regarding traditional approaches to planning and production control (PPC), the lean paradigm and pull production remain largely unadopted. This paper explores the nature of process industries and inadequacy of existing taxonomies to understand the underlying complexity, which significantly impacts planning and production control. Definitions and principles of pull are considered alongside existing process sector PPC and the fundamentals of demand, capacity and variation, to demonstrate that a contingent approach, which considers the environment is required. A manufacturing case study is used to confirm the underlying complexity and explain how the inherent variation and resulting trade-offs impact the applicability of discrete pull mechanisms with potential process manufacturing pull definition and mechanisms concluded. Furthermore, a pull system implementation in the case company operation is examined and simulated concluding the fundamental importance of sequence to flow and pull in process manufacturing and its impact on capacity, utilisation, waste and service.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.