We study a new variant of the classical lot sizing problem with uncertain demand where neither planning horizon nor demands are known exactly. This situation arises in practice when customer arriving over time confirmed rather lately during transportation process. In terms planning, this setting necessitates rolling procedure overall multistage is dissolved into series coupled snapshot problems...

this research provides an optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. the problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments neede...

This paper addresses the problem of minimizing the expected cost of locating a number of single product facilities and allocating uncertain customer demand to these facilities. The total costs consist of two components: firstly linear transportation cost of satisfying customer demand and secondly the costs of investing in a facility as well as maintaining and operating it. These facility costs ...

This paper describes a multi-range robust optimization approach applied to the problem of capacity investment under uncertainty. In multi-range robust optimization, an uncertain parameter is allowed to take values from more than one uncertainty range. We consider a number of possible projects with anticipated costs and cash flows, and an investment decision to be made under budget limitations. ...

Production planning is a key area of operations management. An important methodology for production planning is mathematical programming. Traditional mathematical programming models for production planning are deterministic, and cannot provide robust production plans in the presence of uncertainty. As such, deterministic planning models may yield unsatisfactory decisions. Stochastic programming...

Disasters inevitably trigger far-reaching consequences affecting all living things and the environment.  Therefore, top managers and decision-makers in disaster management seek comprehensive approaches to evaluate facilities and network preparedness in dealing with the response phase of predicted disaster scenarios in terms of number of casualties, costs, and unmet demands.  In this regard, pre...

in this paper, the capacitated location-routing problem with fuzzy demands (clrp-fd) is considered. the clrp-fd is composed of two well-known problems: facility location problem and vehicle routing problem. the problem has many real-life applications of which some have been addressed in the literature such as management of hazardous wastes and food and drink distribution. in clrp-fd, a set of c...

The life of many people in the world is under the danger because of the accidents and unpredicted diseases, which require relief. Since, most of such cases occur in unpredictable condition, for an appropriate planning, the uncertain conditions should be investigated. Consequently, this paper investigates the integrated and multi-step process of locating, assigning and routing the air and la...

The Trading Agent Competition (TAC) Supply Chain Management (SCM) game presents trading agents with several difficult scheduling decisions. Each agent must decide how to build and deliver goods across multiple time periods in the presence of uncertain information about the environment. Stochastic programming (SP) is suggested as a natural, adaptable, and robust solution to scheduling in stochas...