Open shop scheduling games

Autor: Pedro Calleja, Ata Atay, Sergio Soteras
Rok vydání: 2021
Předmět:
FOS: Computer and information sciences
Schedule
Mathematical optimization
Information Systems and Management
Open-shop scheduling
General Computer Science
Process (engineering)
Computer science
0211 other engineering and technologies
02 engineering and technology
Management Science and Operations Research
90B35
91A12

Industrial and Manufacturing Engineering
Set (abstract data type)
FOS: Economics and business
Computer Science - Computer Science and Game Theory
0502 economics and business
Economics - Theoretical Economics
Open shop
Game theory
Cooperative games (Mathematics)
050210 logistics & transportation
021103 operations research
05 social sciences
Core (game theory)
Teoria de jocs
Jocs cooperatius (Matemàtica)
Modeling and Simulation
Theoretical Economics (econ.TH)
Counterexample
Computer Science and Game Theory (cs.GT)
Zdroj: Dipòsit Digital de la UB
Universidad de Barcelona
Popis: This paper takes a game theoretical approach to open shop scheduling problems to minimize the sum of completion times. We assume that there is an initial schedule to process the jobs (consisting of a number of operations) on the machines and that each job is owned by a different player. Thus, we can associate a cooperative TU-game to any open shop scheduling problem, assigning to each coalition the maximal cost savings it can obtain through admissible rearrangements of jobs’ operations. A number of different approaches to admissible schedules for a coalition are introduced and, in the main result of the paper, a core allocation rule is provided for games arising from unit (execution times and weights) open shop scheduling problems for the most of these approaches. To sharpen the bounds of the set of open shop scheduling problems that result in games that are balanced, we provide two counterexamples: one for general open shop problems and another for further relaxations of the definition of admissible rearrangements for a coalition.
Databáze: OpenAIRE