The following abstracts have been accepted for presentation during IWDSP2023:

• A faster FPTAS for proportionate flow shop scheduling with step-deteriorating processing times (Nir Halman)
• An approach to integrate the learning and fatigue effects into the flowshop scheduling problem (Yenny A. Paredes-Astudillo, Valerie Botta-Genoulaz, Jairo R. Montoya-Torres, Martha Patricia Caro)
• An FPTAS and and SFPTAS for maximizing the weighted number of just-in-time jobs in a proportionate flow shop system (Stanisław Gawiejnowicz, Nir Halman)
• A scenario-based planning approach for dynamically scheduled patients (Arthur Kramer, Thiago Alves de Queiroz, Manuel Iori, Yong-Hong Kuo)
• Lot sizing and scheduling of injection molding machines with setup resources and demand uncertainty (Helmut Sedding, Maxim Seidel)
• Minimizing the total operations rejection cost plus makespan value in a two-machine flow-shop scheduling problem (Dvir Shabtay, Enrique Gerstl)
• New results on scheduling time-dependent jobs under precedence constraints (Stanisław Gawiejnowicz)
• Polynomial-time solutions for minimizing total load on unrelated machines with position-dependent processing times and rate-modifying activities (Baruch Mor, Gur Mosheiov, Dvir Shabtay)
• Scheduling data gathering with variable communication speed and startup times (Joanna Berlińska)
• Scheduling with a limited testing budget (Christoph Damerius, Peter Kling, Minming Li, Chenyang Xu, Ruilong Zhang)
• Single machine lot scheduling with fixed maintenance activity (Baruch Mor, Gur Mosheiov, Dana Shapira)
• Single-machine scheduling with two competing agents and rate-modifying activities with weighted due-date related functions (Johnson Phosavanh, Daniel Oron)

The final form of accepted abstracts can be found here.

PUBLICATIONS

There is planned a special issue of the Journal of Scheduling devoted to IWDSP 2023. Detailed information on the issue are given in Call for Papers.