International Journal of Production Management and Engineering - Vol 03, No 1 (2015)

Tabla de contenidos

Editorial

Some Trends and Applications of Operational Research/Management Science to Operations Management

Papers

The Distributed Assembly Parallel Machine Scheduling Problem with eligibility constraints.
Integrating forward and reverse logistics network for commercial goods management. An integer linear programming model proposal
Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance.
Coupling order release methods with autonomous control methods – an assessment of potentials by literature review and discrete event simulation
A performance comparison of single product kanban control systems
Integration of Six Sigma and ISM to improve Supply Chain Coordination – A conceptual framework

URI permanente para esta colecciónhttps://riunet.upv.es/handle/10251/50351

Examinar

Mostrando 1 - 7 de 7

Access status: Abierto ,
Integration of Six Sigma and ISM to improve Supply Chain Coordination – A conceptual framework
(Editorial Universitat Politècnica de València, 2015-01-30) Mishra, Pratima; Sharma, Rajiv Kumar
[EN] To achieve competitiveness and to improve supply chain performance, supply chain coordination (SCC) is considered as a key challenge by the companies to satisfy their customers. In today’s turbulent economic environment, SCC is a topic of great significance among business houses because SCC creates understanding, molds human behavior and improve competitiveness. As observed from literature that the dynamics of global market has resulted in serious pressure and distraction to activities of various supply chain entities i.e. suppliers, manufacturer, distributors, wholesaler, retailers and customers, which ultimately affects the SC performance. Thus, supply chains are exposed to risks due to uncertain and turbulent economic environment. To overcome these challenges, authors in this study developed a conceptual framework for knowledge management based on Six Sigma and ISM which can be used to study various supply chain dimensions be it human, process or quality dimensions. The main advantage of this framework is that it not only helps to understand information regarding the strength and weaknesses of various supply chain entities in a supply chain but also helps to determine the structural relationship among key dimensions of interest. The proposed framework can be applied by industries to model and analyze their processes effectively, compare their performance both within and outside their industry segment and thus improve competitiveness by following knowledge management practices.
Access status: Abierto ,
A performance comparison of single product kanban control systems
(Editorial Universitat Politècnica de València, 2015-01-30) Ang, Alvin
[EN] This paper presents a simulation experiment comparing the Single Stage, Single Product Base Stock (BS), Traditional Kanban Control System (TKCS) and Extended Kanban Control System (EKCS). The results showed that BS incurs the highest cost in all scenarios; while EKCS is found to be effective only in a very niche scenario. TKCS is still a very powerful factory management system to date; and EKCS did not perform exceptionally well. The only time EKCS did outperform TKCS was during low demand arrival rates and low Backorder (Cb) and Shortage costs (Cs). That is because during then, it holds no stock. The most important discovery made here is that EKCS becomes TKCS once it has base stock (or dispatched kanbans). The results have also evinced the strength of the pure kanban system, the TKCS over BS. Hence managers using BS should consider upgrading to TKCS to save cost.
Access status: Abierto ,
Coupling order release methods with autonomous control methods – an assessment of potentials by literature review and discrete event simulation
(Editorial Universitat Politècnica de València, 2015-01-30) Grundstein, Sebastian; Schukraft, S.; Scholz-Reiter, B.; Freitag, M.; Deutsche Forschungsgemeinschaft
[EN] Production planning and control faces increasing uncertainty, dynamics and complexity. Autonomous control methods proved themselves as a promising approach for coping with these challenges. However, there is a lack of knowledge regarding the interaction between autonomous control and precedent functions of production planning and control. In particular, up to now previous research has paid no attention to the influence of order release methods on the efficiency of autonomous control methods. Thereby, many researchers over the last decades provided evidence that the order release function has great influence on the logistic objective achievement in conventional production systems. Therefore, this paper examines the influence of order release methods on the efficiency of autonomous control methods by both theoretic evaluation and discrete event simulation. The simulation results indicate an overall high influence. Moreover, the logistic performance differs considerably depending on the implemented order release methods and the combinations of order release methods with autonomous control methods. The findings highlight demand for further research in this field.
Access status: Abierto ,
Probabilistic risk analysis in manufacturing situational operation: application of modelling techniques and causal structure to improve safety performance
(Editorial Universitat Politècnica de València, 2015-01-30) Pereira, Jose Cristiano; Alves Lima, Gilson Brito
[EN] The use of probabilistic risk analysis in jet engines manufacturing process is essential to prevent failure. The objective of this study is to present a probabilistic risk analysis model to analyze the safety of this process. The standard risk assessment normally conducted is inadequate to address the risks. To remedy this problem, the model presented in this paper considers the effects of human, software and calibration reliability in the process. Bayesian Belief Network coupled to a Bow Tie diagram is used to identify potential engine failure scenarios. In this context and to meet this objective, an in depth literature research was conducted to identify the most appropriate modeling techniques and an interview were conducted with experts. As a result of this study, this paper presents a model that combines fault tree analysis, event tree analysis and a Bayesian Belief Networks into a single model that can be used by decision makers to identify critical risk factors in order to allocate resources to improve the safety of the system. The model is delivered in the form of a computer assisted decision tool supported by subject expert estimates.
Access status: Abierto ,
Integrating forward and reverse logistics network for commercial goods management. An integer linear programming model proposal
(Editorial Universitat Politècnica de València, 2015-01-30) Ponce-Cueto, Eva; Molenat Muelas, Melisa
[EN] In this study, an optimization model is formulated for designing an integrated forward and reverse logistics network in the consumer goods industry. The resultant model is a mixed-integer linear programming model (MILP). Its purpose is to minimize the total costs of the closed-loop supply chain network. It is important to note that the design of the logistics network may involve a trade-off between the total costs and the optimality in commercial goods management. The model comprises a discrete set as potential locations of unlimited capacity warehouses and fixed locations of customers’ zones. It provides decisions related to the facility location and customers’ requirements satisfaction, all of this related with the inventory and shipment decisions of the supply chain. Finally, an application of this model is illustrated by a real-life case in the food and drinks industry. We can conclude that this model can significantly help companies to make decisions about problems associated with logistics network design.
Access status: Abierto ,
The Distributed Assembly Parallel Machine Scheduling Problem with eligibility constraints
(Editorial Universitat Politècnica de València, 2015-01-30) Hatami, Sara; Ruiz García, Rubén; Andrés Romano, Carlos; Departamento de Organización de Empresas; Escuela Técnica Superior de Ingeniería Industrial; Grupo de Investigación en Reingeniería, Organización, trabajo en Grupo y Logística Empresarial - ROGLE; Ministerio de Economía y Competitividad
[EN] In this paper we jointly consider realistic scheduling extensions: First we study the distributed unrelated parallel machines problems by which there is a set of identical factories with parallel machines in a production stage. Jobs have to be assigned to factories and to machines. Additionally, there is an assembly stage with a single assembly machine. Finished jobs at the manufacturing stage are assembled into final products in this second assembly stage. These two joint features are referred to as the distributed assembly parallel machine scheduling problem or DAPMSP. The objective is to minimize the makespan in the assembly stage. Due to technological constraints, machines cannot be left empty and some jobs might be processed on certain factories only. We propose a mathematical model and two high performing heuristics. The model is tested with two state-of-the-art solvers and, together with the heuristics, 2220 instances are solved in a comprehensive computational experiments. Results show that the proposed model is able to solve moderately-sized instances and one of the heuristics is fast, giving close to optimal solutions in less than half a second in the worst case.
Access status: Abierto ,
Some Trends and Applications of Operational Research/Management Science to Operations Management
(Editorial Universitat Politècnica de València, 2015-01-30) Companys, Ramón; Ribas, Imma
[EN] The editor suggested us to write about our point of view on the current use of Operations Research techniques applied to the Operations Management and about its future evolution. With some of unconsciousness we accept it, but it is obvious that our vision, even though we try to do our best, will be partial and biased. Hence the title chosen shows signs of prudence. More caution have been applied to the development where, after a glance at the past and reflection on the abundance of new denominations without content, we consider five aspects that, nowadays, acquire increasing importance and that will strongly influence in future developments. Among the five aspects two correspond to trends in the field of operations research techniques, one is a philosophy in the field of operations management, another to an area of the company and the last one to an industrial sector in which operations management, supported by operations research methods, is taking a predominant role.

Examinar

Envíos recientes