2016Unpublished venueRequires access

Heuristic methods for Q-time bottleneck dispatching

Ching-Lung Chang, Han-Yu Wu, Chao-Kai Chen

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Abstract

This paper presents the design of an efficient heuristic method for q-time bottleneck dispatching (QBD) to achieve the bottleneck utilization and minimum of work-in-process (WIP) level in order to reduce the hold lots in q-time start step and prevent q-time violations from quality issues. The core concept of this method consists of linear programming problems of operation constraints such as bottleneck machine's capacity planning, queuing WIP limitation, flow-in and re-entrant WIP pre-allocation. Base on the theory of constraints (TOC) and heuristic method, the mathematical model was implemented into real time dispatching system (RTD) to simulate and systematize machine loading and control q-time variability. This method improve the q-time hold lots by 75% and the average q-time violations cases was shortened by 31% from bottleneck extra queuing WIP reduction.

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What this paper is about

This paper presents the design of an efficient heuristic method for q-time bottleneck dispatching (QBD) to achieve the bottleneck utilization and minimum of work-in-process (WIP) level in order to reduce the hold lots in q-time start step and prevent q-time violations from quality issues. The core concept of this method consists of linear programming problems of operation constraints such as bottleneck machine's capacity planning, queuing WIP limitation, flow-in and re-entrant WIP pre-allocation. Base on the theory of constraints (TOC) and heuristic method, the mathematical model was implemented into real time dispatching system (RTD) to simulate and systematize machine loading and control q-time variability. This method improve the q-time hold lots by 75% and the average q-time violations cases was shortened by 31% from bottleneck extra queuing WIP reduction.

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Available abstract

This paper presents the design of an efficient heuristic method for q-time bottleneck dispatching (QBD) to achieve the bottleneck utilization and minimum of work-in-process (WIP) level in order to reduce the hold lots in q-time start step and prevent q-time violations from quality issues. The core concept of this method consists of linear programming problems of operation constraints such as bottleneck machine's capacity planning, queuing WIP limitation, flow-in and re-entrant WIP pre-allocation. Base on the theory of constraints (TOC) and heuristic method, the mathematical model was implemented into real time dispatching system (RTD) to simulate and systematize machine loading and control q-time variability. This method improve the q-time hold lots by 75% and the average q-time violations cases was shortened by 31% from bottleneck extra queuing WIP reduction.

Key concepts: Bottleneck, Heuristic, Queueing theory, Mathematical optimization, Computer science, Process (computing), Real-time computing, Engineering

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