Stochastic, as well fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper, we analyze the permutation flow shop problem (PFSP) with stochastic and processing times. The main goal is to find solution (permutation jobs) that minimizes expected makespan. However, due exist...

Planning and scheduling problems in various industrial environments are combinatorial and very difficult. Generally, it is extremely hard to solve these types of problems in their general form. Scheduling can be formulated as a problem of determining the best sequence to execute a set of tasks on a set of resources, respecting specific constraints like precedence or disjunctive constraints (Car...

The cyclic permutation flow shop is one flow shop that repetitively produces product mix under permutation schedules. We propose that the cyclic permutation flow shop given the general job sequence can be modeled as a time event graph, based on which the mixed-integer programming method is applied to find the optimal schedule with maximum throughput. Two cases of cyclic permutation flow shops w...

The flexibility present in a job shop is an important determinant of the future success of the shop, since it increases the ability to deal with the changes a job shop is faced with in a dynamic environment. The presence of idle-time in a job shop schedule contributes considerably to this flexibility. By introducing an anticipation factor that preserves idletime in the scheduling process more f...

A dynamic and optimal shop floor design, modelling and implementation is key to achieving successful Fractal Manufacturing System (FrMS). To build adaptive and fault-tolerant fractal layout, attention is paid to issues of shop floor planning, function layout, determination of capacity level, cell composition planning and flow distances of products. A full fledged FrMS. layout is multi-functiona...

The present paper is an attempt to develop a new heuristic algorithm, find the optimal sequence to minimize the utilization time of the machines and hence their rental cost for two stage specially structured flow shop scheduling under specified rental policy in which processing times and set up time are associated with their respective probabilities including transportation time. Further jo...

The efficiency of transportation system management plays an important role in the planning and operation efficiency of flexible manufacturing systems. Automated Guided Vehicles (AGV) are part of diversified and advanced techniques in the field of material transportation which have many applications today and act as an intermediary between operating and storage equipment and are routed and contr...