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Scheduling of a computer integrated manufacturing system : a simulation study

Bhuiyan, Nadia; Gouw, Gerard; Yazdi, Daryoosh - In: Journal of industrial engineering and management : JIEM 4 (2011) 4, pp. 577-609

Purpose: The purpose of this paper is to study the effect of selected scheduling dispatching rules on the performance of an actual CIM system using different performance measures and to compare the results with the literature. Design/methodology/approach: To achieve this objective, a computer...

Persistent link: https://www.econbiz.de/10011899932

Analysis of critical machine reliability in manufacturing cells

Djassemi, Manocher; Seifoddini, Hamid - In: Journal of industrial engineering and management : JIEM 12 (2019) 1, pp. 70-82

Purpose: In an increasingly competitive business environment, machine reliability problem merits special attention in operations of manufacturing cells. This is mainly due to flow line nature of the cellular layout, interdependency of downstream and upstream of machines related to each other....

Persistent link: https://www.econbiz.de/10012002461

Scheduling Dual Gripper Robotic Cell : One-Unit Cycles

Drobouchevitch, Inna - 2015

We consider the scheduling problem of cyclic production in a bufferless dual-gripper robot cell processing a family of identical parts. The objective is to find an optimal sequence of robot moves so as to maximize the long-run average throughput rate of the cell. While there has been a...

Persistent link: https://www.econbiz.de/10012750229

Approach to identify product and process state drivers in manufacturing systems using supervised machine learning

Wuest, Thorsten - 2014

Manufacturing Systems, Manufacturing Processes, Product State, Accumulating State Vector, Quality, Machine Learning, Feature Selection, Holistic Data and Information Management. - The developed concept allows identifying relevant state drivers of complex, multi-stage manufacturing systems...

Persistent link: https://www.econbiz.de/10011333847

Optimal Production Planning in a Stochastic Manufacturing System with Long-Run Average Cost

Sethi, Suresh - 2019

This paper is concerned with the optimal production planning in a dynamic stochastic manufacturing system consisting of a single machine that is failure prone and facing a constant demand. The objective is to choose the rate of production over time in order to minimize the long-run average cost...

Persistent link: https://www.econbiz.de/10012906229

Adaptive policy of buffer allocation and preventive maintenance actions in unreliable production lines

Renna, Paolo - In: Journal of industrial engineering international 15 (2019) 3, pp. 411-421

The buffer allocation problem is an NP-hard combinatorial optimization problem, and it is an important design problem in manufacturing systems. The research proposed in this paper concerns a product line consisting of n unreliable machines with n − 1 buffers and a preventive maintenance...

Persistent link: https://www.econbiz.de/10012099040

Role of batch size in scheduling optimization of flexible manufacturing system using genetic algorithm

Akhtar, Muhammad Umair; Raza, Muhammad Huzaifa; Shafiq, … - In: Journal of industrial engineering international 15 (2019) 1, pp. 135-146

solutions of such problems through exact methods are difficult. Hence, a meta-heuristic Genetic algorithm is used to optimize …

Persistent link: https://www.econbiz.de/10012020093

Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems

Nascimento, Paulo Jorge; Silva, Cristóvão; Henggeler … - In: European journal of operational research : EJOR 317 (2024) 1, pp. 92-110

Persistent link: https://www.econbiz.de/10014634626

Workforce rostering for decentrally controlled production systems : a simulation-based optimization framework using a genetic algorithm

Schwemmer, Julia; Günsel, Christian; Kühn, Mathias; … - In: Logistics research 16 (2023) 1, pp. 1-26

days ahead. To solve this dilemma, we present a simulation-based genetic algorithm, which creates a roster with flexible …) extended by manual operations. Our algorithm iteratively uses reasonable solutions of the JSP as basis for roster optimization … repair operators in the genetic algorithm. We demonstrate the efficiency of our heuristic approach by comparison to rigid …

Persistent link: https://www.econbiz.de/10014514933

Hierarchical Production and Setup Scheduling in Stochastic Manufacturing Systems

Sethi, Suresh; Zhang, Qing - 2017

This paper is concerned with an asymptotic analysis of hierarchical production and setup scheduling in a stochastic manufacturing system consisting of a single failure-prone machine and facing constant demands for a number of products. At any given time the system can only produce one type of...

Persistent link: https://www.econbiz.de/10014046909

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