Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Shib Sankar Sana
Documents disponibles écrits par cet auteur
Affiner la rechercheOptimal reliability, production lotsize and safety stock / Biswajit Sarkar in International journal of management science and engineering management, Vol. 5 N° 3 (Juin 2010)
[article]
in International journal of management science and engineering management > Vol. 5 N° 3 (Juin 2010) . - pp.192-202
Titre : Optimal reliability, production lotsize and safety stock : an economic manufacturing quantity model Type de document : texte imprimé Auteurs : Biswajit Sarkar, Auteur ; Shib Sankar Sana, Auteur ; Kripasindhu Chaudhuri, Auteur Année de publication : 2011 Article en page(s) : pp.192-202 Note générale : Management Langues : Anglais (eng) Mots-clés : Reliability Preventive maintenance Corrective maintenance Safety stock Shortage Résumé :
Reliability based maintenance provides sound guidance for managers who wish to attain high standards of maintenance at their operating
systems. Basically, the amount and the type of maintenance applied for the system depend strongly on the age of components of a machinery system. The present paper describes a production policy (resumption and non-resumption) in order to find out an optimal safety stock, production lotsize and reliability parameters. A production-inventory model with stochastic machine breakdown and its corrective and regular (preventive) repairs with safety stock has been developed incorporating variable reliability parameters. The reliability parameter (ө) is a design variable. Learning effects result in the cost of technology for the design variable which is an decreasing function of (ө) and this, in turn, has an impact on the average cost. Hence the setting of optimal values of reliability parameters and production lotsize with safety stock needs to be considered jointly that achieves the smallest average integrated costs. The Kuhn-Tucker method is used to obtain an optimal solution for reliability parameters, production lotsize and safety stock. Finally, numerical examples with sensitivity analysis of key parameters are given to illustrate the proposed model. Several graphical llustrations of the model are given.DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?133.html [article] Optimal reliability, production lotsize and safety stock : an economic manufacturing quantity model [texte imprimé] / Biswajit Sarkar, Auteur ; Shib Sankar Sana, Auteur ; Kripasindhu Chaudhuri, Auteur . - 2011 . - pp.192-202.
Management
Langues : Anglais (eng)
in International journal of management science and engineering management > Vol. 5 N° 3 (Juin 2010) . - pp.192-202
Mots-clés : Reliability Preventive maintenance Corrective maintenance Safety stock Shortage Résumé :
Reliability based maintenance provides sound guidance for managers who wish to attain high standards of maintenance at their operating
systems. Basically, the amount and the type of maintenance applied for the system depend strongly on the age of components of a machinery system. The present paper describes a production policy (resumption and non-resumption) in order to find out an optimal safety stock, production lotsize and reliability parameters. A production-inventory model with stochastic machine breakdown and its corrective and regular (preventive) repairs with safety stock has been developed incorporating variable reliability parameters. The reliability parameter (ө) is a design variable. Learning effects result in the cost of technology for the design variable which is an decreasing function of (ө) and this, in turn, has an impact on the average cost. Hence the setting of optimal values of reliability parameters and production lotsize with safety stock needs to be considered jointly that achieves the smallest average integrated costs. The Kuhn-Tucker method is used to obtain an optimal solution for reliability parameters, production lotsize and safety stock. Finally, numerical examples with sensitivity analysis of key parameters are given to illustrate the proposed model. Several graphical llustrations of the model are given.DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?133.html A stochastic EPLS model with random price sensitive demand / Monami Das Roy in International journal of management science and engineering management, Vol. 5 N° 6 (Décembre 2010)
[article]
in International journal of management science and engineering management > Vol. 5 N° 6 (Décembre 2010) . - pp.465-472
Titre : A stochastic EPLS model with random price sensitive demand Type de document : texte imprimé Auteurs : Monami Das Roy, Auteur ; Shib Sankar Sana, Auteur ; Kripasindhu Chaudhuri, Auteur Année de publication : 2011 Article en page(s) : pp.465-472 Note générale : Management Langues : Anglais (eng) Mots-clés : Price-sensitive demand Shortage Inventory Random sales price Résumé : In real estate businesses, the price fluctuates due to the variation of a number of factors such as brokerage, inflation and time value of money etc. In this article we consider an stochastic EPLS (economic production lot size) model with price sensitive demand when the price is random in character. The model investigates a self manufacturing/finite replenishment rate with profit maximization problem for a single item over finite time horizon, allowing shortages. A general model is built up by taking production cost, holding cost, shortage cost and selling price into consideration. The general model is analyzed by considering three different distributions of selling price: uniform distribution, exponential distribution and linear distribution for showing the flexibility and utility of the model. Numerical examples are illustrated to test the proposed model. Sensitivity analysis is carried out. A comparative study between these three distributions has also been done DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?167.html [article] A stochastic EPLS model with random price sensitive demand [texte imprimé] / Monami Das Roy, Auteur ; Shib Sankar Sana, Auteur ; Kripasindhu Chaudhuri, Auteur . - 2011 . - pp.465-472.
Management
Langues : Anglais (eng)
in International journal of management science and engineering management > Vol. 5 N° 6 (Décembre 2010) . - pp.465-472
Mots-clés : Price-sensitive demand Shortage Inventory Random sales price Résumé : In real estate businesses, the price fluctuates due to the variation of a number of factors such as brokerage, inflation and time value of money etc. In this article we consider an stochastic EPLS (economic production lot size) model with price sensitive demand when the price is random in character. The model investigates a self manufacturing/finite replenishment rate with profit maximization problem for a single item over finite time horizon, allowing shortages. A general model is built up by taking production cost, holding cost, shortage cost and selling price into consideration. The general model is analyzed by considering three different distributions of selling price: uniform distribution, exponential distribution and linear distribution for showing the flexibility and utility of the model. Numerical examples are illustrated to test the proposed model. Sensitivity analysis is carried out. A comparative study between these three distributions has also been done DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?167.html