An Efficient Heuristic for a Real-Life OAS Problem

Inspired by a real-life manufacturing problem, we present a mathematical model and a heuristic that solves it. A desired solution needs not only to maximize the company's profit but must also be easy to interpret by the members of the management. The considered problem is thus a variant of the...

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Main Authors: Marcin Anholcer, Andrzej Żak
Format: Article
Language:English
Published: Wrocław University of Science and Technology 2025-01-01
Series:Operations Research and Decisions
Online Access:https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no1_1.pdf
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author Marcin Anholcer
Andrzej Żak
author_facet Marcin Anholcer
Andrzej Żak
author_sort Marcin Anholcer
collection DOAJ
description Inspired by a real-life manufacturing problem, we present a mathematical model and a heuristic that solves it. A desired solution needs not only to maximize the company's profit but must also be easy to interpret by the members of the management. The considered problem is thus a variant of the order acceptance and scheduling (OAS) problem, which can be solved using known heuristics. Our approach is different because we study the mechanism by which setup times arise, unlike other approaches where setup times are treated as parts of the instance. This enables us to develop a very fast and efficient heuristic, formulate a MILP model that can be applied to solve much larger problems than previously known methods, and ultimately meet decision-makers' expectations. We prove the efficiency of the presented method by comparing its results with the optimum obtained by a state-of-the-art solver. We also briefly discuss a case study that arose in a food industry company in Poland. (original abstract)
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publisher Wrocław University of Science and Technology
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spelling doaj-art-be74de0f130645fab7eee1648955f18b2025-08-20T02:40:18ZengWrocław University of Science and TechnologyOperations Research and Decisions2081-88582391-60602025-01-01vol. 35no. 1120171707815An Efficient Heuristic for a Real-Life OAS ProblemMarcin Anholcer0Andrzej Żak1Poznań University of Economics and Business, Poznań, PolandAGH University, Kraków, PolandInspired by a real-life manufacturing problem, we present a mathematical model and a heuristic that solves it. A desired solution needs not only to maximize the company's profit but must also be easy to interpret by the members of the management. The considered problem is thus a variant of the order acceptance and scheduling (OAS) problem, which can be solved using known heuristics. Our approach is different because we study the mechanism by which setup times arise, unlike other approaches where setup times are treated as parts of the instance. This enables us to develop a very fast and efficient heuristic, formulate a MILP model that can be applied to solve much larger problems than previously known methods, and ultimately meet decision-makers' expectations. We prove the efficiency of the presented method by comparing its results with the optimum obtained by a state-of-the-art solver. We also briefly discuss a case study that arose in a food industry company in Poland. (original abstract)https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no1_1.pdf
spellingShingle Marcin Anholcer
Andrzej Żak
An Efficient Heuristic for a Real-Life OAS Problem
Operations Research and Decisions
title An Efficient Heuristic for a Real-Life OAS Problem
title_full An Efficient Heuristic for a Real-Life OAS Problem
title_fullStr An Efficient Heuristic for a Real-Life OAS Problem
title_full_unstemmed An Efficient Heuristic for a Real-Life OAS Problem
title_short An Efficient Heuristic for a Real-Life OAS Problem
title_sort efficient heuristic for a real life oas problem
url https://ord.pwr.edu.pl/assets/papers_archive/ord2025vol35no1_1.pdf
work_keys_str_mv AT marcinanholcer anefficientheuristicforareallifeoasproblem
AT andrzejzak anefficientheuristicforareallifeoasproblem
AT marcinanholcer efficientheuristicforareallifeoasproblem
AT andrzejzak efficientheuristicforareallifeoasproblem