In this paper the Discrete Lotsizing and Scheduling Problem (DLSP) is considered. DLSP relates to capacitated lotsizing as well as to job scheduling problems and is concerned with determining a feasible production schedule with minimal total costs in a single-stage manufacturing process. This involves the sequencing and sizing of production lots for a number of different items over a discrete and finite planning horizon. Feasibility of production schedules is subject to production quantities being within bounds set by capacity. A problem classification for DLSP is introduced and results on computational complexity are derived for a number of single and parallel machine problems. Furthermore, efficient algorithms are discussed for solving special single and parallel machine variants of DLSP.

Additional Metadata
Keywords algorithms, computational complexity, economic lot size, feasibility studies, lot sizing, manufacturing processes, mathematical models, planning, problem solving, production control, production engineering, production methods, production planning, production scheduling, sequencing
Persistent URL hdl.handle.net/1765/14359
Citation
Salomon, M., Kroon, L.G., Kuik, R., & van Wassenhove, L.N.. (1991). Some extensions of the discrete lotsizing and scheduling problem. Management Science, 801–812. Retrieved from http://hdl.handle.net/1765/14359