Despite its great applicability in several industries, the combined cutting stock and lot-sizing problem has not been sufficiently studied because of its great complexity. This paper analyses the trade-off that arises when we solve the cutting stock problem by taking into account the production planning for various periods. An optimal solution for the combined problem probably contains non-opti...

This paper deals with a problem of determining lot-sizes of jobs in a real-world job shop-scheduling in the presence of uncertainty. The main issue discussed in this paper is lot-sizing of jobs. A fuzzy rule-based system is developed which determines the size of lots using the following premise variables: size of the job, the static slack of the job, workload on the shop floor, and the priority...

0377-2217/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.ejor.2012.11.044 ⇑ Corresponding author. Tel.: +33 (0)3 87 31 56 25 E-mail addresses: [email protected] (N. Absi), dauzere Pérès), [email protected] (S. Kedad-Sidhou inp.fr (B. Penz), [email protected] (C This paper introduces new environmental constraints, namely carbon emission constraints, in ...

To establish production plans or replenishment plans, firms use forecasting systems. Such a system is composed of a forecasting method and a lot-sizing method. We propose a scheme to evaluate the reliability of such a system. This evaluation is based on the impact of demand randomness on the long run total cost. The scheme is illustrated with a system including an exponential smoothing techniqu...

While many review articles exist on (deterministic) lot sizing models used in the context of price and quantity discounts, buyer–vendor coordination, supply chain management, and joint economic lot sizing problems, they do not convey the impact of important findings which date back to at least 2002, or, in hindsight, to 1984. As a result, many recent articles still model the financial implicati...

Lot-sizing and capacity planning are important supply chain decisions, and competition and cooperation affect the performance of these decisions. In this paper, we look into the dynamic lot sizing and resource competition problem of an industry consisting of multiple firms. A capacity competition model combining the complexity of time-varying demand with cost functions and economies os scale ar...

Recently, scholars and practitioners have shown an increased interest in the field of sustainable supplier selection and order lot-sizing. While several studies have recently carried out on this field, far too little attention has been given to formulating a multi-objective model for the integrated problem of multi-period multi-product order lot-sizing and sustainable supplier selection under i...

Dynamic lot sizing problem is one of the significant problem in industrial units and it has been considered by  many researchers. Considering the quantity discount in  purchasing cost is one of the important and practical assumptions in the field of inventory control models and it has been less focused in terms of stochastic version of dynamic lot sizing problem. In  this paper, stochastic dyn...

optimization models have been used to support decision making in production planning for a long time. however, several of those models are deterministic and do not address the variability that is present in some of the data. robust optimization is a methodology which can deal with the uncertainty or variability in optimization problems by computing a solution which is feasible for all possible ...