This paper considers multi-stage optimization problems under uncertainty that involve distinct offline and online phases. In particular it addresses the issue of integrating these phases to show how two are often interrelated in real-world applications. Our methods applicable (fairly general) conditions: 1) is exogenous; 2) possible define a greedy heuristic for phase can be modeled as p...

Market competition requires continuous improvement in the design and operation of supply chains. Warehouse management is a field of interest for both practitioners and researchers and involves material, information and financial flow management in a highly dynamic environment. Designing and planning a warehouse (distribution centre) involve different levels of decisionmaking, with high levels o...

The aim of this research was to investigate the impact that consistent decisions have on performance. In this paper, we analyse the adjustment between innovative and productive strategy in service firms. By using the adjustment concept as an integrated archetype, we identify patterns of adjustment between the two dimensions analysed. The sample consists of 167 Spanish firms belonging to differe...

In this paper, an incentive policy is proposed to coordinate ordering, lead time, and pricing strategies in a two-echelon manufacturing supply chain (SC) consisting of one manufacturer and one retailer. The system is faced with a stochastic demand which depends on both price and lead time. The manufacturer decides on production size and manufacturing acceleration rate while the retailer determi...

the acceptance of the right project which leads to the realization of the set objectives is one of the most important issues in project-oriented companies. therefore, corporate managers prefer to work on those projects which ensures the achievement of goals such as increasing financial profits or being the top brands in their rivals market. the present  research aimed at introducing  a systemat...

the acceptance of the right project which leads to the realization of the set objectives is one of the most important issues in project-oriented companies. therefore, corporate managers prefer to work on those projects which ensures the achievement of goals such as increasing financial profits or being the top brands in their rivals market. the present  research aimed at introducing  a systemat...

background the inclusion of cost-effectiveness data, as a basis for priority setting rankings, is a distinguishing feature in the formulation of the swedish national guidelines. guidelines are generated with the direct intent to influence health policy and support decisions about the efficient allocation of scarce healthcare resources. certain medical conditions may be given higher priority ran...

Multi-agent systems provide an attractive architecture for the implementation of complex systems. Much of the research is focussed on complete automation of the decision making process as a means of duplicating human abilities f o r working with new problems and environments. There as also a need for systems that employ the human as an agent and rely on human abilities for common sense and deep...

this paper uses integrated data envelopment analysis (dea) models to rank all extreme and non-extreme efficient decision making units (dmus) and then applies integrated dea ranking method as a criterion to modify genetic algorithm (ga) for finding pareto optimal solutions of a multi objective programming (mop) problem. the researchers have used ranking method as a shortcut way to modify ga to d...

A generalized approach is proposed to support integrated traffic flow management decision making studies at both the U.S. national and regional levels. It can consider tradeoffs between alternative optimization and heuristic based models, strategic versus tactical flight controls, and system versus fleet preferences. Preliminary testing was accomplished by implementing thirteen unique traffic f...