Production planning is a necessary process that directly affects the efficiency of production systems in most industries. The complexity current problem depends on increased options production, uncertainties demand and resources. In this study, stochastic multi-objective mixed-integer optimization model developed to ensure uncertainty conditions satisfy requirements sustainable development. sys...

We consider the problem of dynamically allocating production capacity between two products to minimize the average inventory and backorder costs per unit time in a make-to-stock single machine system. Using sample path comparisons and dynamic programming, we give a characterization of the optimal hedging point policy for a certain region of the state space. The characterization is simple enough...

We study a multi-item stochastic inventory system in which customers may order different but possibly overlapping subsets of items, such as a multiproduct assemble-to-order system. The goal is to determine the right base-stock level for each item and to identify the key driving factors. We formulate a cost-minimization model with order-based backorder costs and compare it with the standard sing...

In this paper, we consider the problem of determining the production rate, production batch size, and production sequence when production rate, setup cost, and unit processing cost are sequence-dependent. Using a standard lot sizing model with backorder, a tabu search algorithm for solving this problem is proposed. The algorithm is tested on some random test problems and its performance is comp...

The capacity of a firm to accomplish its goals is financially compromised by degeneration goods. A suitable preservation strategy reduce degradation vital part the managerial decisions. This study employs technologies under uncertain demand frame continuous review inventory model with full back-ordering and influence promotional efforts. Survey existing research finds few models synchronised op...

This paper studies the competitive and cooperative selection of inventory policies in a two-echelon supply chain with one supplier and N retailers. Stochastic demand is monitored continuously. Retailers incur inventory holding and backorder penalty costs. The supplier incurs holding costs for its inventory and backorder penalty costs for backorders at the retailers. The latter cost reflects the...

Abstract Due to expected positive impacts on business, the application of artificial intelligence has been widely increased. The decision-making procedures those models are often complex and not easily understandable company’s stakeholders, i.e. people having follow up recommendations or try understand automated decisions a system. This opaqueness black-box nature might hinder adoption, as user...

This research deals with a production-inventory problem consisting of three-stage tree-type singleproducer multi-distributor and multi-retailer supply chain network where a model has been developed for achieving the lowest total cost for operating a supply chain system with allowable shortage. In this research, the shortage is assumed to occur in a form of backorder. The refrigerator manufactur...

We consider the single-item, multi-period stochastic inventory problem with non-stationary and correlated demands. We provide the first proof that a well-known myopic policy, which we call Look-Ahead Optimization (LA), is in fact an approximation algorithm for solving the large dynamic program that arises from this problem. We prove that LA provides the tightest known approximation bound for th...