Production planning and scheduling with applications in the tile industry

Armindo Soares, Carina Pimentel and Ana Moura

International Journal of Operational Research, 2022, vol. 44, issue 1, 58-79

Abstract: In this paper we consider the medium to short-term production planning and scheduling (PPS) process of a ceramic tile industry. The PPS process encompasses three problems: 1) the development of a master production plan that determines the medium-term production needs; 2) the development of a biweekly production scheduling plan that minimises the production time required to complete the set of products, so as to meet customer orders within agreed due dates and ensure the filling of connected firing kilns; 3) the available-to-promise problem (or jobs order acceptance/order selection, and delivery date establishment problem). The production scheduling problem (PSP) was addressed as an identical parallel machine problem, with machine eligibility constraints, family and subfamily setups and minimum production lot sizes. A specific heuristic and a mixed integer programming model are proposed to solve the PSP. A model-driven decision support system, applying and manipulating quantitative models, that improves the quality and time expenditure of the PPS process, is also presented.

Keywords: production planning and scheduling; PPS; constructive heuristic; decision support system; DSS; mixed integer programming; MIP; tile industry; master production schedule; MPS; available to promise; ATP; production scheduling. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=123035 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:44:y:2022:i:1:p:58-79

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().