Introduction
Zhi-Long Chen and
Nicholas G. Hall
Additional contact information
Zhi-Long Chen: University of Maryland
Nicholas G. Hall: Ohio State University
Chapter Chapter 1 in Supply Chain Scheduling, 2022, pp 1-22 from Springer
Abstract:
Abstract This chapter introduces supply chain scheduling, the topic of this book. Our study of supply chain scheduling contains two main parts. In the first part, we consider decision making by a single centralized agent who evaluates tradeoffs between different operational decisions and their related profits or costs within a supply chain. In the second part, we consider decision making by two or more decentralized agents and study the combined effect of their self-interested decisions on the quality of overall supply chain solutions. A common theme throughout both these environments is how to achieve coordination among the various operational functions and decisions within the supply chain, in order to improve its overall performance. In this chapter, we first position supply chain scheduling relative to the literature of classical scheduling and that of supply chain management. For both centralized and decentralized supply chains, we then discuss a wide variety of applications that motivate the modeling and methodological developments which are studied in later chapters. Limitations to our scope are also discussed. Finally, we provide an overview of the book.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:isochp:978-3-030-90374-9_1
Ordering information: This item can be ordered from
http://www.springer.com/9783030903749
DOI: 10.1007/978-3-030-90374-9_1
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().