Three essays on algorithmic approaches for operations management

Foroughi, Amir

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URN:	urn:nbn:de:bsz:180-madoc-640978
Document Type:	Doctoral dissertation
Year of publication:	2023
Place of publication:	Mannheim
University:	Universität Mannheim
Evaluator:	Stolletz, Raik
Date of oral examination:	8 July 2022
Publication language:	English
Institution:	Business School > ABWL u. Produktion (Stolletz 2010-)
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject:	650 Management
Keywords (English):	outpatient appointment scheduling , simulation optimization , multifidelity simulation , routing , warehousing , product location , time-dependent queues with overloading
Abstract:	Operations management is an area of business concerned with producing goods and services. It manages the conversion of inputs (such as materials, labor, and energy) into outputs (in goods and services). It ensures that business operations are efficient in using as few resources as required and effective in meeting consumer needs. Operations management is responsible for a wide range of decisions, such as planning capacity for manufacturing plants, designing the structure of supply chain networks, and developing and operating service systems. Decision-making in operations management is often reinforced by analytical and algorithmic tools which are based on logic and consider all available data and possible alternatives. This dissertation focuses on designing different algorithmic approaches supporting decision-making in operations management. It consists of three articles that design, implement, and analyze one or several algorithms for distinct practical problems in operations management. The papers are coauthored by Professor Dr. Schneider, Professor Dr. Emde, Professor Dr. Boysen, and Professor Dr. Stolletz. Each article describes the potential motivation of the research, positioning in the literature, and a detailed problem/model description. In addition, numerical results of each, generate insights into problems described in every chapter.