A Study of Priority Rules for a Levelled Production Plan

2017 ◽  
pp. 111-120 ◽  
Author(s):  
Paulina Rewers ◽  
Justyna Trojanowska ◽  
Jacek Diakun ◽  
Alvaro Rocha ◽  
Luis P. Reis
Keyword(s):  
Production Plan ◽  
Priority Rules

Concept Of Increasing The Level Of Projects Of Work Production

2020 ◽  
pp. 59-63
Keyword(s):  
Practical Experience ◽  
Production Plan ◽  
The Real ◽  
Master Plans ◽  
General Contractor ◽  
Work Production ◽  
Construction Organization ◽  
Production Plans

The author analyzes the reasons that objectively reduce the importance and quality of the organizational and technological solutions of work production plans and the content of their main documents. Based on a generalization of practical experience, one of the real ways of increasing the level of work production plans is proposed as a result of the development of "The Unified Rules for Work Production on the Site" as part of the construction organization project, in the form of fundamental requirements, followed by the inclusion of this document in the work production plan as an input document. The structure and content of the Unified Rules are described with the disclosure of the main documents - calendar plans of work, construction master plans, technological schemes of works. The first section of the document contains requirements for the content of tasks for the development of the project of work execution, the order of its approval, and requirements for the quality of solutions. The second section presents principal solutions, methods of work execution and their technological schemes. The organizational and technological solutions adopted in the proposed document are specified and detailed by the General Contractor Construction Organization with due regard for the resource capabilities and the actual conditions of construction or reconstruction.

scholarly journals Dynamic programming for an optimization of production plan

2021 ◽  
Vol 1731 ◽  
pp. 012032
Author(s):  
U Rafflesia ◽  
F H Widodo ◽  
T Angraini
Keyword(s):  
Dynamic Programming ◽  
Production Plan

scholarly journals Multiobjective Optimization Model of Production Planning in Cloud Manufacturing Based on TOPSIS Method with Combined Weights

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Zhiru Li ◽  
Wei Xu ◽  
Huibin Shi ◽  
Qingshan Zhang ◽  
Fengyi He
Keyword(s):  
Multiobjective Optimization ◽  
Production Planning ◽  
Mass Customization ◽  
Evaluation Model ◽  
Cloud Manufacturing ◽  
Production Plan ◽  
Topsis Method ◽  
Nsga Ii ◽  
Optimal Production ◽  
Planning Scheme

Combined with the research of mass customization and cloud manufacturing mode, this paper discussed the production planning of mass customization enterprises in the context of cloud manufacturing in detail, analyzed the attribute index of manufacturing resource combination, and given a system considering the characteristics of batch production in mass customization and the decentralization of manufacturing resources in cloud manufacturing environment. Then, a multiobjective optimization model has been constructed according to the product delivery date, product cost, and product quality that customers care most about. The Pareto solution set of production plan has been obtained by using NSGA-II algorithm. This paper established a six-tier attribute index system evaluation model for the optimization of production planning scheme set of mass customization enterprises in cloud manufacturing environment. The weight coefficients of attribute indexes were calculated by combining subjective and objective weights with analytic hierarchy process (AHP) and entropy weight method. Finally, the combined weights calculated were applied to the improved TOPSIS method, and the optimal production planning scheme has been obtained by ranking. This paper validated the effectiveness and feasibility of the multiobjective model and NSGA-II algorithm by the example of company A. The Pareto effective solution has been obtained by solving the model. Then the production plan set has been sorted synthetically according to the comprehensive evaluation model, and the optimal production plan has been obtained.

Production fine planning using a solution archive of priority rules

2011 ◽  
Author(s):  
Erik Pitzer ◽  
Andreas Beham ◽  
Michael Affenzeller ◽  
Helga Heiss ◽  
Markus Vorderwinkler
Keyword(s):  
Priority Rules

Exergoeconomic Analysis in a Cement Production Plant

2020 ◽  
Author(s):  
J. Fajardo ◽  
A. Mendoza ◽  
D. Barreto ◽  
H. Valle
Keyword(s):  
Rotary Kiln ◽  
Relative Difference ◽  
Accurate Information ◽  
Production Plant ◽  
Production Plan ◽  
Exergy Destruction ◽  
Cement Production ◽  
Total Cost ◽  
Significant Difference ◽  
Exergoeconomic Analysis

Abstract A dry-type Cement Production Plan of 151 Tons per hour was taken as a case of study to implement an exergoeconomic analysis. In this paper, the exergy destruction and the investment costs of the system’s units were calculated to obtain accurate information about the performance of the process, from the exergoeconomic factor and the relative difference cost. Conventional exergoeconomic analysis showed that the total cost of exergy destruction is 4206537 USD/h. The Calciner and the Rotary Kiln cause 62% of the total cost of the exergy destruction. The lowest values of the exergoeconomic factor were calculated for Calciner (0.01%), Clinker Cooler (0.01%), Rotary Kiln (0.02%), and Raw Mill (0.04%). The significant difference in relative cost was calculated for Calciner (42%) and Rotary Kiln (54.21%). The above implies that this equipment should be considered for an investment that allows the decrease of the exergy destruction cost and the increase of the exergetic efficiency.

Modeling and scheduling hybrid open shops for makespan minimization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kennedy Anderson Guimarães de Araújo ◽  
Tiberius Oliveira e Bonates ◽  
Bruno de Athayde Prata
Keyword(s):  
Programming Model ◽  
Computing Time ◽  
Iterated Local Search ◽  
Mixed Integer ◽  
Scheduling Problems ◽  
Priority Rules ◽  
Production Flow ◽  
Solution Quality ◽  
Content Type ◽  
Constructive Heuristics

Purpose This study aims to address the hybrid open shop problem (HOSP) with respect to the minimization of the overall finishing time or makespan. In the HOSP, we have to process n jobs in stages without preemption. Each job must be processed once in every stage, there is a set of mk identical machines in stage k and the production flow is immaterial. Design/methodology/approach Computational experiments carried out on a set of randomly generated instances showed that the minimal idleness heuristic (MIH) priority rule outperforms the longest processing time (LPT) rule proposed in the literature and the other proposed constructive methods on most instances. Findings The proposed mathematical model outperformed the existing model in the literature with respect to computing time, for small-sized instances, and solution quality within a time limit, for medium- and large-sized instances. The authors’ hybrid iterated local search (ILS) improved the solutions of the MIH rule, drastically outperforming the models on large-sized instances with respect to solution quality. Originality/value The authors formalize the HOSP, as well as argue its NP-hardness, and propose a mixed integer linear programming model to solve it. The authors propose several priority rules – constructive heuristics based on priority measures – for finding feasible solutions for the problem, consisting of adaptations of classical priority rules for scheduling problems. The authors also propose a hybrid ILS for improving the priority rules solutions.

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