Avoiding the possibility of bankruptcy during the investment horizon is very important to multi-period portfolio management. This paper considers a multi-period fuzzy portfolio selection problem with bankruptcy control. A multi-period portfolio optimization model imposed by a bankruptcy control constraint in fuzzy environment is proposed on the basis of credibility theory. In the proposed model...

Mixed integer programming (MIP) is a powerful modelling tool for decision-making in the industry and in the public sector. Integer requirements are essential to model a wide variety of situations involving assignment restrictions, logical constraints and yes/no decisions, to name a few. Usually real-life applications result in mixed integer programs that are large in size and that are beyond th...

the aim of this study was to develop an optimal sustainable forest plantation based on goal programming and analytic hierarchy process (ahp) methods. this study was carried out in guilan province, north of iran. first of all, the ecological capability of the study area for plantation establishment/maintenance was evaluated based on multi-factor method and specific ecological makhdoum model by m...

Inventory space requirements in remanufacturing facilities can vary significantly over time and by type of space needed, due variability in recaptured component quality, availability of refurbished components, remanufactured product demand, and returned product rates. Multi-period stochastic programming recourse models are developed to identify optimal schedules of internal, external, and recon...

Demand of emergency materials is usually uncertain and delayed as the latent period changes. With the consideration of the delay caused by the latent period of an epidemic, a multi-objective stochastic programming model for an emergency logistics network is constructed based on the epidemic diffusion rules. The genetic algorithm is adopted to solve the optimization model, and the application of...

nowadays, the necessity of accurate quantitative decision support methods is becoming a critical subject for managers as rivalry between organizations caused a more fragile economic environment and brand reputation is becoming more important. furthermore, dealing with incidents after they happened is not accepted by customers anymore. managers require powerful decision making tools to support t...

this paper studies the multi-stage supply chain system (msscm) controlled by the kanban mechanism. in the kanban system, decision making is based on the number of kanbans as well as batch sizes. a kanban mechanism is employed to assist in linking different production processes in a supply chain system in order to implement the scope of just-in-time (jit) philosophy. for a msscm, a mixed-integer...

this paper is a research on the ordering planning of a supply chain with one supplier, multi buyer and multi deteriorating items. items have fixed life time and expire dates. the ordering period is taken as variable and must be computed the proposed models. the problem is studied via two different approaches the first is the joint replenishment, based on the hwang and chew's model [3] and ...

We consider the problem of minimizing the overall cost of a supply chain, over a possibility long horizon, under demand uncertainly which is known only crudely. Under such circumstances, the method of choice is Robust Optimization, in particular the Affinely Adjustable Robust Counterpart (AARC) method which leads to tractable deterministic optimization problems. The latter is due to a recent re...