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An algorithm of workforce scheduling for maintenance optimization / Sakon Wongmongkolrit in International journal of management science and engineering management, Vol. 5 N° 3 (Juin 2010) 

Public ISBD [article]  in International journal of management science and engineering management > Vol. 5 N° 3 (Juin 2010) . - pp.163-169 Titre : An algorithm of workforce scheduling for maintenance optimization Type de document : texte imprimé Auteurs : Sakon Wongmongkolrit, Auteur ; Bordin Rassameethes, Auteur Année de publication : 2011 Article en page(s) : pp.163-169 Note générale : Management Langues : Anglais (eng) Mots-clés : Workforce  scheulding  Personal  assignment  Optimal  maintenance  policy Résumé : Workforce scheduling for maintenance and personal assignment concept are very important for all manufacturers. Most of them have to ensure that their staffs are to be fitted to their jobs and responsibilities. Especially, the maintenance approach may require amount appropriate workforce or manpower for doing both of preventive and corrective maintenance activities, whilst the maintenance scheduling and algorithm concept are useful for solving and fitting the personal assignment, with neither of overstaffing nor understaffing. Our concept and algorithm have developed from previous research studies and fulfilled the niches of those studies such as the complying to the labor law (the consecutive day work and day off), the mixture policy of preventive and corrective maintenance, probabilistic failure rate and deterministic of staff assignment, cyclic shift working and equality of staffs' day off on weekend. However, we did not avoid minimizing labour cost, and utilized worker activities. So, our algorithm will be a new managerial solution for all manufacturers who have a problem with their maintainability about staff assignment. Especially, the manufacturers who have continuously worked 24 hours and 7 days, without any vacations such as airport, mass rapid transit, Just-In-Time manufacturer and so on. Most of them might be gotten the benefit and taken an advantage from this research study. Furthermore, our concept and algorithm of staff assignment can be applied to the service sector's personal required for each shift and each day which is conformed to the probabilistic of customers' demand for each period. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?129.html [article] An algorithm of workforce scheduling for maintenance optimization [texte imprimé] / Sakon Wongmongkolrit, Auteur ; Bordin Rassameethes, Auteur . - 2011 . - pp.163-169. Management Langues : Anglais (eng) in International journal of management science and engineering management > Vol. 5 N° 3 (Juin 2010) . - pp.163-169 Mots-clés : Workforce  scheulding  Personal  assignment  Optimal  maintenance  policy Résumé : Workforce scheduling for maintenance and personal assignment concept are very important for all manufacturers. Most of them have to ensure that their staffs are to be fitted to their jobs and responsibilities. Especially, the maintenance approach may require amount appropriate workforce or manpower for doing both of preventive and corrective maintenance activities, whilst the maintenance scheduling and algorithm concept are useful for solving and fitting the personal assignment, with neither of overstaffing nor understaffing. Our concept and algorithm have developed from previous research studies and fulfilled the niches of those studies such as the complying to the labor law (the consecutive day work and day off), the mixture policy of preventive and corrective maintenance, probabilistic failure rate and deterministic of staff assignment, cyclic shift working and equality of staffs' day off on weekend. However, we did not avoid minimizing labour cost, and utilized worker activities. So, our algorithm will be a new managerial solution for all manufacturers who have a problem with their maintainability about staff assignment. Especially, the manufacturers who have continuously worked 24 hours and 7 days, without any vacations such as airport, mass rapid transit, Just-In-Time manufacturer and so on. Most of them might be gotten the benefit and taken an advantage from this research study. Furthermore, our concept and algorithm of staff assignment can be applied to the service sector's personal required for each shift and each day which is conformed to the probabilistic of customers' demand for each period. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?129.html