Integrated planning and scheduling built on cluster analysis and simulation optimisation

2014 ◽  
Vol 9 (1/2) ◽  
pp. 81 ◽  
Author(s):  
Galina Merkuryeva ◽  
Vitaly Bolshakov
Keyword(s):  
Cluster Analysis ◽  
Integrated Planning ◽  
Planning And Scheduling ◽  
Simulation Optimisation

scholarly journals An Integrated Approach to Product Delivery Planning and Scheduling

2011 ◽  
Vol 45 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Galina Merkuryeva ◽  
Vitaly Bolshakov ◽  
Maksims Kornevs
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Expert Knowledge ◽  
Real Life ◽  
Integrated Approach ◽  
Classification Model ◽  
Performance Criteria ◽  
Planning And Scheduling ◽  
Delivery Planning ◽  
Product Delivery

An Integrated Approach to Product Delivery Planning and SchedulingProduct delivery planning and scheduling is a task of high priority in transport logistics. In distribution centres this task is related to deliveries of various types of goods in predefined time windows. In real-life applications the problem has different stochastic performance criteria and conditions. Optimisation of schedules itself is time consuming and requires an expert knowledge. In this paper an integrated approach to product delivery planning and scheduling is proposed. It is based on a cluster analysis of demand data of stores to identify typical dynamic demand patterns and product delivery tactical plans, and simulation optimisation to find optimal parameters of transportation or vehicle schedules. Here, a cluster analysis of the demand data by using the K-means clustering algorithm and silhouette plots mean values is performed, and an NBTree-based classification model is built. In order to find an optimal grouping of stores into regions based on their geographical locations and the total demand uniformly distributed over regions, a multiobjective optimisation problem is formulated and solved with the NSGA II algorithm.

Models for Solving Integrated Planning and Scheduling Problem: Computational Comparison

2018 ◽  
Vol 34 ◽  
pp. 161-170 ◽  
Author(s):  
Zineb Ibn Majdoub Hassani ◽  
Abdellah El Barkany ◽  
Abdelouahhab Jabri ◽  
Ikram El Abbassi
Keyword(s):  
Production Planning ◽  
Production System ◽  
Production Plan ◽  
Scheduling Problem ◽  
Integrated Planning ◽  
System Planning ◽  
Planning And Scheduling ◽  
Computational Comparison

This article concerns the integration of planning and scheduling production system. Planning and scheduling are usually treated separately because of their complexity. Scheduling largely depends on the production quantities computed at the production planning level. However, ignoring scheduling constraints in the tactical level leads to inconsistent decisions. So, it is important to integrate planning and scheduling to efficiently manage operations and to determine a realistic production plan for a given sequence of jobs on each machine. In this paper, we present some approaches proposed to solve the problem and we realize a comparison between the two most interesting ones, using the standard solver CPLEX.

Multi-bucket optimization for integrated planning and scheduling in the perishable dairy supply chain

2015 ◽  
Vol 77 ◽  
pp. 59-73 ◽  
Author(s):  
C. Sel ◽  
B. Bilgen ◽  
J.M. Bloemhof-Ruwaard ◽  
J.G.A.J. van der Vorst
Keyword(s):  
Supply Chain ◽  
Integrated Planning ◽  
Planning And Scheduling
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