Barriers in implementing green supply chain management in construction industry
- Ojo, Elizabeth, Mbowa, Charles, Akinlabi, Esther Titilayo
- Authors: Ojo, Elizabeth , Mbowa, Charles , Akinlabi, Esther Titilayo
- Date: 2014
- Subjects: Green supply chain management , Construction industry - Nigeria
- Type: Article
- Identifier: uj:5012 , http://hdl.handle.net/10210/13152
- Description: Green supply chain management (GSCM) has become an antidote for sustainability in an industry. Despite the benefits of GSCM, there is a paucity of research investigated drivers and barriers of GSCM in Nigerian construction industry. Cost reduction, brand image development and gaining a competitive advantage were the main drivers which encouraged corporate to adopt GSCM practices. Lack of resources, supplier resistance to change and lack of awareness were found to be the main barriers militating against adoption of GSCM practices. This research is intending to identify drivers and barriers of GSCM practices adoption in Nigerian Construction firms. Using qualitative approach, 28 participants from both public and private constructions firms have been investigated through a questionnaire . The research depended on descriptive analysis to conclude results. Research analysis indicated that lack of public awareness, Lack of knowledge and environmental impacts, Poor commitment by the top management and Lack of legal enforcement and Government represented the main barriers facing adoption of GSCM practices in Nigerian construction firms. This research gives ways to firms seeking GSCM practices adoption in Nigerian construction firms.
- Full Text:
- Authors: Ojo, Elizabeth , Mbowa, Charles , Akinlabi, Esther Titilayo
- Date: 2014
- Subjects: Green supply chain management , Construction industry - Nigeria
- Type: Article
- Identifier: uj:5012 , http://hdl.handle.net/10210/13152
- Description: Green supply chain management (GSCM) has become an antidote for sustainability in an industry. Despite the benefits of GSCM, there is a paucity of research investigated drivers and barriers of GSCM in Nigerian construction industry. Cost reduction, brand image development and gaining a competitive advantage were the main drivers which encouraged corporate to adopt GSCM practices. Lack of resources, supplier resistance to change and lack of awareness were found to be the main barriers militating against adoption of GSCM practices. This research is intending to identify drivers and barriers of GSCM practices adoption in Nigerian Construction firms. Using qualitative approach, 28 participants from both public and private constructions firms have been investigated through a questionnaire . The research depended on descriptive analysis to conclude results. Research analysis indicated that lack of public awareness, Lack of knowledge and environmental impacts, Poor commitment by the top management and Lack of legal enforcement and Government represented the main barriers facing adoption of GSCM practices in Nigerian construction firms. This research gives ways to firms seeking GSCM practices adoption in Nigerian construction firms.
- Full Text:
Evaluating performance of production scheduling from an economic perspective
- Authors: Mapokgole, Johannes
- Date: 2014
- Subjects: Production scheduling , Total opportunity cost
- Type: Article
- Identifier: uj:4945 , http://hdl.handle.net/10210/13045
- Description: Production scheduling which is a part of the planning and control of production units lies at the heart of the performance of manufacturing organizations. Production scheduling determines organizational performance. The need for efficient scheduling has greatly increased in recent decades owing to market demands for product quality, flexibility and order flow times, and other measures. However, although scheduling research activities have in the same period moved from purely academic exercises to serious attempts to solve practical problems in companies, successful implementations of scheduling techniques in practice are still scarce [1-6] and less attempt on solving the same from an economic perspective. In many companies, scheduling is still a typically human domain. However, the task of scheduling production units can become very complex. Humans are not very well equipped to barely control or optimize large and complex systems without computational tools, and the relations between actions and effects are difficult to assess. This paper will focus on problems that are related to the complexity of scheduling in practice. Scheduling based on this technique is often changed by the scheduler due to random disruptions or are not carried out exactly as preplanned on the shop floor. Because of the complex production processes, schedules are often difficult to assess mainly in terms of production cost. This paper takes a leap approach by assessing production performance in terms of cost. A new criterion of optimality is also proposed and used. This criterion is termed “total opportunity cost” and takes into account the different single criterion in a weighed term.
- Full Text:
- Authors: Mapokgole, Johannes
- Date: 2014
- Subjects: Production scheduling , Total opportunity cost
- Type: Article
- Identifier: uj:4945 , http://hdl.handle.net/10210/13045
- Description: Production scheduling which is a part of the planning and control of production units lies at the heart of the performance of manufacturing organizations. Production scheduling determines organizational performance. The need for efficient scheduling has greatly increased in recent decades owing to market demands for product quality, flexibility and order flow times, and other measures. However, although scheduling research activities have in the same period moved from purely academic exercises to serious attempts to solve practical problems in companies, successful implementations of scheduling techniques in practice are still scarce [1-6] and less attempt on solving the same from an economic perspective. In many companies, scheduling is still a typically human domain. However, the task of scheduling production units can become very complex. Humans are not very well equipped to barely control or optimize large and complex systems without computational tools, and the relations between actions and effects are difficult to assess. This paper will focus on problems that are related to the complexity of scheduling in practice. Scheduling based on this technique is often changed by the scheduler due to random disruptions or are not carried out exactly as preplanned on the shop floor. Because of the complex production processes, schedules are often difficult to assess mainly in terms of production cost. This paper takes a leap approach by assessing production performance in terms of cost. A new criterion of optimality is also proposed and used. This criterion is termed “total opportunity cost” and takes into account the different single criterion in a weighed term.
- Full Text:
Healthcare staff scheduling in a fuzzy environment : a fuzzy genetic algorithm approach
- Mutingi, Michael, Mbohwa, Charles
- Authors: Mutingi, Michael , Mbohwa, Charles
- Date: 2014
- Subjects: Healthcare staff scheduling , Nurse scheduling , Fuzzy modeling , Genetic algorithms , Jarosite precipitate
- Type: Article
- Identifier: uj:4970 , http://hdl.handle.net/10210/13071
- Description: In the presence of imprecise management targets, staff preferences, and patients’ expectations, the healthcare staff scheduling problem becomes complicated. The goals, preferences, and client expectations, being humanistic, are often imprecise and always evolving over time. We present a Jarosite precipitate (FGA) approach for addressing healthcare staff scheduling problems in fuzzy environments. The proposed FGA-based approach can handle multiple conflicting objectives and constraints. To improve the algorithm, fuzzy set theory is used for fitness evaluations of alternative candidate schedules by modeling the fitness of each alternative solution using fuzzy membership functions. Furthermore, the algorithm is designed to incorporate the decision maker’s choices and preferences, in addition to staff preferences. Rather than prescribing a sing solution to the decision maker, the approach provides a population of alternative solutions from which the decision maker can choose the most satisfactory solution. The FGA-based approach is potential platform upon which useful decision support tools can be developing for solving healthcare staff scheduling problems in a fuzzy environment characterized with multiple conflicting objectives and preference constraints.
- Full Text:
- Authors: Mutingi, Michael , Mbohwa, Charles
- Date: 2014
- Subjects: Healthcare staff scheduling , Nurse scheduling , Fuzzy modeling , Genetic algorithms , Jarosite precipitate
- Type: Article
- Identifier: uj:4970 , http://hdl.handle.net/10210/13071
- Description: In the presence of imprecise management targets, staff preferences, and patients’ expectations, the healthcare staff scheduling problem becomes complicated. The goals, preferences, and client expectations, being humanistic, are often imprecise and always evolving over time. We present a Jarosite precipitate (FGA) approach for addressing healthcare staff scheduling problems in fuzzy environments. The proposed FGA-based approach can handle multiple conflicting objectives and constraints. To improve the algorithm, fuzzy set theory is used for fitness evaluations of alternative candidate schedules by modeling the fitness of each alternative solution using fuzzy membership functions. Furthermore, the algorithm is designed to incorporate the decision maker’s choices and preferences, in addition to staff preferences. Rather than prescribing a sing solution to the decision maker, the approach provides a population of alternative solutions from which the decision maker can choose the most satisfactory solution. The FGA-based approach is potential platform upon which useful decision support tools can be developing for solving healthcare staff scheduling problems in a fuzzy environment characterized with multiple conflicting objectives and preference constraints.
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