Rescheduling job shops under random disruptions
From MaRDI portal
Publication:4245309
DOI10.1080/002075497195074zbMath0949.90627OpenAlexW2137451760MaRDI QIDQ4245309
R. J. Abumaizar, Joseph A. Svestka
Publication date: 8 June 1999
Published in: International Journal of Production Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/002075497195074
Related Items (19)
Executing production schedules in the face of uncertainties: a review and some future directions ⋮ A fuzzy logic based production scheduling/rescheduling in the presence of uncertain disruptions ⋮ Real-time production scheduling in the Industry-4.0 context: addressing uncertainties in job arrivals and machine breakdowns ⋮ Heuristic stability: a permutation disarray measure ⋮ Applying local rescheduling in response to schedule disruptions ⋮ Algorithms for rescheduling jobs with a LIFO buffer to minimize the weighted number of late jobs ⋮ Integrated process planning and scheduling/rescheduling—an agent-based approach ⋮ An approach to predictive-reactive scheduling of parallel machines subject to disruptions ⋮ Distributed supply‐chain project rescheduling: Part I—impacts of information‐sharing strategies ⋮ A real-time methodology for minimizing mean flowtime in FMSs with machine breakdowns: threshold-based selective rerouting ⋮ A survey of dynamic scheduling in manufacturing systems ⋮ Self-adaptive dynamic scheduling of virtual production systems ⋮ Dynamic scheduling for complex engineer-to-order products ⋮ A generic deadlock-free reactive scheduling approach ⋮ Single-machine rescheduling with deterioration and learning effects against the maximum sequence disruption ⋮ Distributed supply-chain project rescheduling: part II—distributed affected operations rescheduling algorithm ⋮ Analysis of reactive deadlock-free scheduling in flexible job shops ⋮ Dynamic flexibility metrics for capability and capacity ⋮ Combining prospect theory with fuzzy theory to handle disruption in production scheduling
Uses Software
This page was built for publication: Rescheduling job shops under random disruptions
