dynamic cellular manufacturing systems,   mixed-integer non-linear programming,   production planning, manufacturing attributes   this paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (dcms) based on production planning (pp) decisions and several manufacturing attributes. such an integrated dcms model with an extensive c...

In a relatively recent paper (G. Zhang, X. Cai, C.Y. Lee, C.K. Wong, Minimizing makespan on a single batch processing machine with nonidentical job sizes, Naval Research Logistics 48 (2001) 226–240), authors considered minimizing makespan on a single batching machine having unit capacity. For the restricted version of the problem in which the processing times of the jobs with sizes greater than...

The volume of data that humans create has increased explosively as information science and technology have evolved. Therefore, the demand for learning machines that can extract input-output mappings and knowledge rules from massive data sets has become more urgent, and machine learning is now a core technology in the advanced information society. It has been applied to fields such as pattern re...

This paper deals with a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM) scheduling in the presence of fuzzy due date. In this paper, first a fuzzy mixed integer linear programming model is developed. Then, due to the complexity of the problem, which is NP-hard, we design two hybrid metaheuristics called GA-VNS and VNS-SA applying the...

Batch processing machines are commonly used in wafer fabrication, kilns, and chambers used for environmental stress screening (ESS). This paper proposes two models to schedule batches of jobs on two machines in a flow shop. A set of jobs with known processing times and sizes has to be grouped, to form batches, in order to be processed on the batch processing machines. The jobs are nonidentical ...

farming organic vegetable and crops have grown as a market desiring commodity. weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. a few chemicals are commonly applied in organic farming. thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...

Farming organic vegetable and crops have grown as a market desiring commodity. Weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. A few chemicals are commonly applied in organic farming. Thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...

    Dynamic cellular manufacturing systems,   Mixed-integer non-linear programming,   Production planning, Manufacturing attributes   This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensi...