A Fuzzy Optimization Model For Supply Chain Production Planning With Total Aspect Of Decision Making

Abstract

This paper models supply chain uncertainties by fuzzy sets and develops a fuzzy linear programming model for tactical supply chain planning in a multi-echelon, multiproduct, multi-stage with different methods of manufacturing in each stage, multidistribution centre and multi-period supply chain network. In this approach, the demand, process and supply uncertainties are jointly considered. The aim is to achieve the best use of the available resources and the best method of manufacturing at each stage for a product along the time horizon so that customer demands are met at a minimum cost. The fuzzy model provides the decision maker with alternative decision plans with different degrees of satisfaction.

Assessing the quality level of technological processes at car service enterprises

“…The fuzzy quality management approach has been applied to the main production processes at an enterprise producing motorboats. The authors of [15][16][17][18] also employ the principles of fuzzy set theory to model a quality management process.…”

“…The sums of absolute values for the t-criterion S j exceeding t tabl at iteration I The coefficients of model ( 15) are determined from the following formula [25,26] A a a a a a a a a X X X K (16) where X is the matrix consisting of vectors-columns of independent parameters determined at the last iteration of the Farrar-Glober algorithm; K q is the vector-column of quality levels of the rendered services at each CSE (Table 3). Thus, we obtain the following model:…”

A fuzzy-genetic tactical resource planner for workforce allocation

“…In [8], an analytic hierarchy process which included fuzzy mathematics comprehensive evaluation was employed for human resource allocation, however this system couldn't be deployed in real time and it could be only used for the system overall evaluations. In [9], a fuzzy mixed-integer linear programming was employed for resource allocation; however, it takes a long time to do the allocation, which is not feasible for resource allocation in large geographical areas.…”