scholarly journals The Effect of The Processing Time’s Variance to The Performance of Sequencing Rule

Author(s):  
Arum Sari ◽  
Y C Yulia
Keyword(s):  
2017 ◽  
Vol 107 (09) ◽  
pp. 617-624
Author(s):  
S. Willeke ◽  
M. Stonis ◽  
P. Prof. Nyhuis

Durch die Zunahme der Einspeisungen erneuerbarer Energien nimmt die Volatilität des Strompreises stetig zu. Unter Berücksichtigung dieses Sachverhaltes können produzierende Unternehmen durch die Anwendung einer energiepreisorientierten Reihenfolgeregel Energiekosten sparen. Da die Anwendung dieser Reihenfolgeregel nicht nur Auswirkungen auf die Energiekosten hat, wird in diesem Fachbeitrag eine Potentialanalyse vorgestellt, welche neben den Energiekosten zusätzlich die Termineinhaltungskosten von Fertigungsaufträgen berücksichtigt.   As a result of the increasing feed-in of renewable energies, the volatility of the electricity price rises. Considering this, manufacturers can save energy costs by applying an energy price-oriented sequencing rule. Since the application of this sequencing rule does not only have an impact on the energy costs, a potential analysis is presented in this article which, in addition to the energy costs, also considers the schedule compliance cost of production orders.


1989 ◽  
Vol 27 (4) ◽  
pp. 671-686 ◽  
Author(s):  
TIMOTHY D. FRY ◽  
MICHAEL D. OLIFF ◽  
ELLIOT D. MINOR ◽  
G. KEONG LEONG

2017 ◽  
Vol 12 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Stefan Willeke ◽  
Henrik Prinzhorn ◽  
Malte Stonis ◽  
Peter Nyhuis
Keyword(s):  

Author(s):  
Pankaj Sharma ◽  
Ajai Jain

Routing flexibility is a major contributor towards flexibility of a flexible job shop manufacturing system. This article focuses on a simulation-based experimental study on the effect of routing flexibility and sequencing rules on the performance of a stochastic flexible job shop manufacturing system with sequence-dependent setup times while considering dynamic arrival of job types. Six route flexibility levels and six sequencing rules are considered for detailed study. The performance of manufacturing system is evaluated in terms of flow time related and due date–related measures. Results reveal that routing flexibility and sequencing rules have significant impact on system performance, and the performance of a system can be increased by incorporating routing flexibility. Furthermore, the system performance starts deteriorating as the level of route flexibility is increased beyond a particular limit for a specified sequencing rule. The statistical analysis of the results indicates that when flexibility exists, earliest due date rule emerges as a best sequencing rule for maximum flow time, mean tardiness and maximum tardiness performance measures. Furthermore, smallest setup time rule is better than other sequencing rules for mean flow time and number of tardy jobs performance measures. Route flexibility level two provides best performance for all considered measures.


2014 ◽  
Vol 5 (2) ◽  
pp. 22-38 ◽  
Author(s):  
Mehdi Souier ◽  
Zaki Sari

This paper investigates the scheduling problem in a typical flexible manufacturing system (FMS) with routing flexibility. The scheduling decisions have been established in terms of how the parts are launched into the system, how these parts are routed through various machines and how parts are sequenced for processing on a machine. The first decision is taken using one of the two dynamic dispatching rules (least work remaining (LWR) and most work remaining (MWR)) or first in first out (FIFO). Concerning the second decision, an algorithm based on particle swarm optimization (PSO) is used for real time alternative routing selection of each part whereas shortest processing time (SPT), longest processing time (LPT) and FIFO are used as sequencing rules for working centres (third decision). The simulation results evaluated in terms of the productivity and the utilisation of the system show that the proposed PSO algorithm performs the best when it is combined with LWR as part launching rule and SPT as machine sequencing rule.


2007 ◽  
Vol 21 (3) ◽  
pp. 477-495 ◽  
Author(s):  
Wanyang Dai ◽  
Qian Jiang

We study the stochastic optimal control for an assemble-to-order system with multiple products and components that arrive at the system in random batches and according to renewal reward processes. Our purpose is to maximize expected infinite-horizon discounted profit by selecting product prices, component production rates, and a dynamic sequencing rule for assembly. We refine the solution of some static planning problem and a discrete review policy to batch arrival environment and develop an asymptotically optimal policy for the system operating under heavy traffic, which indicates that the system can be approximated by a diffusion process and exhibits a state space collapse property.


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