minor set-up cost. We work out the necessary and suffcient solvability conditions and apply the general dynamic programming … properties of the optimal solution structure allows us to construct explicit solutions to the obtained sub-problems and prove … their optimality. In this way, we reduce the complexity of the algorithm considerably and confirm its efficiency in an …

The paper deals with the analysis of a special dynamic production and inventory model. In this model logical …

The most recent optimization algorithm for (s, S) order policies with continuous demand was developed byFedergruen and … Zipkin (1985). This was also the first efficient algorithm, which uses policy iteration instead ofdiscretization. Zheng and … determining the optimal s. Furthermore, we constructtwo aid functions (generated by the optimality conditions for s and S) , and …

performance measures, demand processes and order policies, and leads toeasier analysis and implementation, than prior research. We … obtain closed form expressions forthe Laplace transforms of the expressions of the performance measures, and with the help of … anefficient inversion algorithm, the approximations of these cost and service measures are almost upto machine precision. …

In equipment-intensive industries such as truck manufacturing, electronics manufacturing, photo copiers,and airliners …

In this paper we first show that the gains achievable by integrating pricing and inventory control are usually small … for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand … repeat the success of revenue management in practice if reference price effects are included in the demand model and the …

This paper presents a mixed-integer program for the dynamic lot sizing and scheduling problem in a multi-level, single …

Cellular automata were used to model and to simulate phenomena in the area of physics, biology and medicine. In this … cellular automaton is used as a basis for solving multi-level lot sizing and scheduling problems to suboptimality. We will …

This contribution presents two heuristic approaches for multi-level, single-machine lot sizing and scheduling. The … both the run-time performance and the average deviation from the optimum objective function values. A computational study … shows that these two methods are complementary, i.e. the randomized regret based heuristic performs good in those cases in …