Pub Date : 2023-01-01DOI: 10.5267/j.jpm.2023.5.001
J. J. Shengeza, J. J. Msambichaka, Yazid H. Mwishwa
The success of building construction projects in developing countries heavily relies on the specialized skills of artisans who are responsible for executing physical construction activities. However, the performance of these artisans depends on various influencing factors (IFs) that significantly affect their productivity and workmanship. This study aims to assess the impact of disregarding IFs on the performance of artisans in building construction projects in Tanzania. Using the individual performance theory, the study identifies the core IFs that influence artisans' performance and develops a structural equation modelling (SEM) to understand the inter-relationship between these IFs. The study collects data from 289 building construction projects through a non-probability technique and analyses it using SPSS-25 and AMOS-20. The study finds that the enforcement of IFs at construction sites by stakeholders in the construction industry is weak, which undermines the performance of artisans. Therefore, the study recommends that employers and supervisors should consider IFs during the construction process to achieve better results in terms of time, cost, and quality. The findings of this study can guide employers and supervisors in the construction industry to enhance the overall performance of building construction projects by improving the performance of artisans through ensuring that IFs are taken into consideration during the recruitment and construction process.
{"title":"Assessment of the impact of disregarding influencing factors on artisans performance in building construction projects in Tanzania","authors":"J. J. Shengeza, J. J. Msambichaka, Yazid H. Mwishwa","doi":"10.5267/j.jpm.2023.5.001","DOIUrl":"https://doi.org/10.5267/j.jpm.2023.5.001","url":null,"abstract":"The success of building construction projects in developing countries heavily relies on the specialized skills of artisans who are responsible for executing physical construction activities. However, the performance of these artisans depends on various influencing factors (IFs) that significantly affect their productivity and workmanship. This study aims to assess the impact of disregarding IFs on the performance of artisans in building construction projects in Tanzania. Using the individual performance theory, the study identifies the core IFs that influence artisans' performance and develops a structural equation modelling (SEM) to understand the inter-relationship between these IFs. The study collects data from 289 building construction projects through a non-probability technique and analyses it using SPSS-25 and AMOS-20. The study finds that the enforcement of IFs at construction sites by stakeholders in the construction industry is weak, which undermines the performance of artisans. Therefore, the study recommends that employers and supervisors should consider IFs during the construction process to achieve better results in terms of time, cost, and quality. The findings of this study can guide employers and supervisors in the construction industry to enhance the overall performance of building construction projects by improving the performance of artisans through ensuring that IFs are taken into consideration during the recruitment and construction process.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70782776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2021.7.001
D. Ighravwe, D. Aikhuele, O. Fayomi, Anayo Dike Anayo Dike Basil
In recent times, there have been developments in the maritime industry that underscore the need to optimise operations to yield maximum productivity. Apart from this, stakeholders in this industry have also advocated improvements in seaport operations' critical areas. However, there is no known study in which the relationship between performance criteria and seaport operation measures is investigated. This study proposes a framework for selecting operation measures for the maritime industry. It uses stakeholders' expectations for operational criteria and fuzzy logic to design the framework. Nine criteria were considered in the framework, while Fuzzy VIKOR (VIsekriterijumska optimizacija I KOmpromisno Resenje) and fuzzy Shannon entropy were incorporated into it. The framework's applicability was tested using information that was obtained from Tin can port, Lagos, Nigeria. During this process, hinterland traffic diversion (A1), congestion pricing (A2), off-dock container yards (A3), Fast rail shuttles (A4), expanded rail connections (A5) were considered as alternatives for seaport operational measures. When the developed framework was used to analyse the collected information from Tin Can port, Lagos, Nigeria, the fuzzy VIKOR index ranked the alternatives as A1 » A2 » A3 » A5 » A4. Therefore, this study's insights show that mathematical models can be used to make informed seaports decisions.
近年来，海运业的发展强调了优化操作以获得最大生产力的必要性。除此之外，该行业的利益相关者也主张改善海港运营的关键领域。然而，目前还没有研究调查绩效标准和海港运营措施之间的关系。本研究为海运业的营运措施选择提出一个框架。它使用利益相关者对操作标准的期望和模糊逻辑来设计框架。该框架考虑了9个准则，并将模糊VIKOR (VIsekriterijumska optimizacija I KOmpromisno Resenje)和模糊Shannon熵纳入其中。使用从尼日利亚拉各斯Tin can港获得的信息对该框架的适用性进行了测试。在此过程中，我们考虑了腹地交通改道(A1)、拥挤收费(A2)、码头外货柜场(A3)、快速铁路穿梭(A4)、扩大铁路连接(A5)等海港营运措施的备选方案。当开发的框架用于分析从尼日利亚拉各斯锡罐港收集的信息时，模糊的VIKOR指数将备选方案排名为A1»A2»A3»A5»A4。因此，本研究的见解表明，数学模型可以用于做出明智的海港决策。
{"title":"Adoption of a multi-criteria approach for the selection of operational measures in a maritime environment","authors":"D. Ighravwe, D. Aikhuele, O. Fayomi, Anayo Dike Anayo Dike Basil","doi":"10.5267/j.jpm.2021.7.001","DOIUrl":"https://doi.org/10.5267/j.jpm.2021.7.001","url":null,"abstract":"In recent times, there have been developments in the maritime industry that underscore the need to optimise operations to yield maximum productivity. Apart from this, stakeholders in this industry have also advocated improvements in seaport operations' critical areas. However, there is no known study in which the relationship between performance criteria and seaport operation measures is investigated. This study proposes a framework for selecting operation measures for the maritime industry. It uses stakeholders' expectations for operational criteria and fuzzy logic to design the framework. Nine criteria were considered in the framework, while Fuzzy VIKOR (VIsekriterijumska optimizacija I KOmpromisno Resenje) and fuzzy Shannon entropy were incorporated into it. The framework's applicability was tested using information that was obtained from Tin can port, Lagos, Nigeria. During this process, hinterland traffic diversion (A1), congestion pricing (A2), off-dock container yards (A3), Fast rail shuttles (A4), expanded rail connections (A5) were considered as alternatives for seaport operational measures. When the developed framework was used to analyse the collected information from Tin Can port, Lagos, Nigeria, the fuzzy VIKOR index ranked the alternatives as A1 » A2 » A3 » A5 » A4. Therefore, this study's insights show that mathematical models can be used to make informed seaports decisions.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2021.9.001
Muberra Allahverdi
Since scheduling literature has a wide range of uncertainties, it is crucial to take these into account when solving performance measure problems. Otherwise, the performance may severely be affected in a negative way. In this paper, an algorithm is proposed to minimize the total completion time (TCT) of a two-machine no-wait flowshop with uncertain setup times within lower and upper bounds. The results are compared to the best existing algorithm in scheduling literature: the programming language Python is used to generate random samples with respect to various distributions, and the TCT of the proposed algorithm is compared to that of the best existing one. Results reveal that the proposed one significantly outperforms the best one given in literature for all considered distributions. Specifically, the average percentage improvement of the proposed algorithm over the best existing one is over 90%. A test of hypothesis is conducted to further confirm the results.
{"title":"An improved algorithm to minimize the total completion time in a two-machine no-wait flow-shop with uncertain setup times","authors":"Muberra Allahverdi","doi":"10.5267/j.jpm.2021.9.001","DOIUrl":"https://doi.org/10.5267/j.jpm.2021.9.001","url":null,"abstract":"Since scheduling literature has a wide range of uncertainties, it is crucial to take these into account when solving performance measure problems. Otherwise, the performance may severely be affected in a negative way. In this paper, an algorithm is proposed to minimize the total completion time (TCT) of a two-machine no-wait flowshop with uncertain setup times within lower and upper bounds. The results are compared to the best existing algorithm in scheduling literature: the programming language Python is used to generate random samples with respect to various distributions, and the TCT of the proposed algorithm is compared to that of the best existing one. Results reveal that the proposed one significantly outperforms the best one given in literature for all considered distributions. Specifically, the average percentage improvement of the proposed algorithm over the best existing one is over 90%. A test of hypothesis is conducted to further confirm the results.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2022.1.002
M. S. Nagano, Caio Paziani Tomazella, Roberto Fernandes Tavares-Neto, L. R. Abreu
The integration between production and distribution to minimize total elapsed time is an important issue for industries that produce products with a short lifespan. However, the literature focus on production environments with a single stage. This paper enhances the complexity of the production system of an integrated production and distribution system by considering flowshop environment decisions integrated with a vehicle routing problem decision. In this case, each order is produced in a permutation flowshop subsystem and then shipped to its destination by a capacitated vehicle, and the objective is to sequence these orders to minimize the makespan of the schedule. This paper uses two approaches to address this integrated problem: a mixed-integer formulation and an Iterated Greedy algorithm. The experimentation shows that the Iterated Greedy algorithm yields results with a 0.02% deviation from the optimal for problems with five jobs, and is a viable option to be used in practical cases due to its short computational time.
{"title":"Solution methods for the integrated permutation flowshop and vehicle routing problem","authors":"M. S. Nagano, Caio Paziani Tomazella, Roberto Fernandes Tavares-Neto, L. R. Abreu","doi":"10.5267/j.jpm.2022.1.002","DOIUrl":"https://doi.org/10.5267/j.jpm.2022.1.002","url":null,"abstract":"The integration between production and distribution to minimize total elapsed time is an important issue for industries that produce products with a short lifespan. However, the literature focus on production environments with a single stage. This paper enhances the complexity of the production system of an integrated production and distribution system by considering flowshop environment decisions integrated with a vehicle routing problem decision. In this case, each order is produced in a permutation flowshop subsystem and then shipped to its destination by a capacitated vehicle, and the objective is to sequence these orders to minimize the makespan of the schedule. This paper uses two approaches to address this integrated problem: a mixed-integer formulation and an Iterated Greedy algorithm. The experimentation shows that the Iterated Greedy algorithm yields results with a 0.02% deviation from the optimal for problems with five jobs, and is a viable option to be used in practical cases due to its short computational time.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2021.11.001
Mohd Sayuti Hassan, Siti Izaidah Azmi, Siti Fairuz Mohd Radzi, Rahimi Che Aman, Zikri Muhammad, Jumadil Saputra
Poverty is one of the significant problems, and almost all countries worldwide face poverty issues that negatively impact society. This study is written to investigate the students' knowledge and awareness of poverty and interest level in conducting e-business and garage sales. Also, examine the relationship of knowledge and awareness on students' intention to conduct e-business and garage sales. There were 152 respondents from the same university who participated in this study. The data analyzed using descriptive and inferential statistics performed by SPSS-23 and SmartPLS 3.3.3. The survey showed that the student's knowledge and awareness of poverty are still lacking and need improvement. Half of the respondents said they are not familiar with SDG1, and they were not aware that their university has done an event related to SDG1 and poverty. There were 25% and 85% of students interested in conducting e-business and garage sales that increased their pocket money and reduced poverty rates among university students. Overall, this study's result shows a positive response from all respondents, and most of them have general ideas of poverty. In addition, this study has identified that the variable knowledge and awareness have a significant positive effect on student's intention to conduct e-business and garage sales.
{"title":"The effect of project management through e-business and garage sales on poverty reduction","authors":"Mohd Sayuti Hassan, Siti Izaidah Azmi, Siti Fairuz Mohd Radzi, Rahimi Che Aman, Zikri Muhammad, Jumadil Saputra","doi":"10.5267/j.jpm.2021.11.001","DOIUrl":"https://doi.org/10.5267/j.jpm.2021.11.001","url":null,"abstract":"Poverty is one of the significant problems, and almost all countries worldwide face poverty issues that negatively impact society. This study is written to investigate the students' knowledge and awareness of poverty and interest level in conducting e-business and garage sales. Also, examine the relationship of knowledge and awareness on students' intention to conduct e-business and garage sales. There were 152 respondents from the same university who participated in this study. The data analyzed using descriptive and inferential statistics performed by SPSS-23 and SmartPLS 3.3.3. The survey showed that the student's knowledge and awareness of poverty are still lacking and need improvement. Half of the respondents said they are not familiar with SDG1, and they were not aware that their university has done an event related to SDG1 and poverty. There were 25% and 85% of students interested in conducting e-business and garage sales that increased their pocket money and reduced poverty rates among university students. Overall, this study's result shows a positive response from all respondents, and most of them have general ideas of poverty. In addition, this study has identified that the variable knowledge and awareness have a significant positive effect on student's intention to conduct e-business and garage sales.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2022.3.003
Ali Allahverd
Scheduling plays an important role in service and manufacturing environments for the delivery of reliable products on time. The scheduling literature reveals that the vast majority of the investigated scheduling problems are for the deterministic case where all parameters of jobs are known in advance and are fixed. However, in some real-world environments, the assumption of fixed parameters of jobs is not valid since job parameters are uncertain. An uncertain parameter can be modelled as having a probability distribution, or it can be modelled as a fuzzy number, or it can be modelled as a random variable within some interval with lower and upper bounds, distribution free. If the uncertain parameter, e.g., processing time, is modelled as a random variable within some lower or upper bounds, it is called interval or bounded processing time. The objective of this paper is to survey the investigated scheduling problems with interval or bounded processing/setup times. The scheduling literature is reviewed, the addressed problems are analyzed, and classified based on shop environments (single machine, parallel machine, flowshop, job shop), performance measures, the approach taken in the papers to solve the considered problem, and interval/bounded processing times or setup times. Some future research opportunities with interval/bounded processing/setup times are presented.
{"title":"A survey of scheduling problems with uncertain interval/bounded processing/setup times","authors":"Ali Allahverd","doi":"10.5267/j.jpm.2022.3.003","DOIUrl":"https://doi.org/10.5267/j.jpm.2022.3.003","url":null,"abstract":"Scheduling plays an important role in service and manufacturing environments for the delivery of reliable products on time. The scheduling literature reveals that the vast majority of the investigated scheduling problems are for the deterministic case where all parameters of jobs are known in advance and are fixed. However, in some real-world environments, the assumption of fixed parameters of jobs is not valid since job parameters are uncertain. An uncertain parameter can be modelled as having a probability distribution, or it can be modelled as a fuzzy number, or it can be modelled as a random variable within some interval with lower and upper bounds, distribution free. If the uncertain parameter, e.g., processing time, is modelled as a random variable within some lower or upper bounds, it is called interval or bounded processing time. The objective of this paper is to survey the investigated scheduling problems with interval or bounded processing/setup times. The scheduling literature is reviewed, the addressed problems are analyzed, and classified based on shop environments (single machine, parallel machine, flowshop, job shop), performance measures, the approach taken in the papers to solve the considered problem, and interval/bounded processing times or setup times. Some future research opportunities with interval/bounded processing/setup times are presented.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2022.4.001
E. Asadi, H. Fricke
Airport Collaborative Decision Making (ACDM) flight scheduling plans rely on accurate predictions of both optimal and reliable aircraft turnaround times, which is one of the most difficult things to complete. In order to account for the effects of randomness and fuzziness on the turnaround process duration, this paper deals with transforming the probability distribution of well-fitted sub-processes into a cumulative density function, which is equivalent to the fuzzy membership function (FMF), and then using goodness-of-fit to determine the fuzzy membership grade of each turnaround sub-process. The turnaround time is calculated using the fuzzy critical path method (FCPM), which is a combination of the Critical Path Method (CPM) and fuzzy set theory. In order to verify this estimate, we created the FMF using historical data and compared it to turnaround times based on FCPM. A linear regression model is used to examine the relationship between arrival delays and the FCPM-based turnaround process. We also use historical data to generate fuzzy sets of different arrival delays using Frankfurt airport data from the summer of 2017 and conclude that delays are positively correlated with the FCPM-based turnaround process.
{"title":"Aircraft total turnaround time estimation using fuzzy critical path method","authors":"E. Asadi, H. Fricke","doi":"10.5267/j.jpm.2022.4.001","DOIUrl":"https://doi.org/10.5267/j.jpm.2022.4.001","url":null,"abstract":"Airport Collaborative Decision Making (ACDM) flight scheduling plans rely on accurate predictions of both optimal and reliable aircraft turnaround times, which is one of the most difficult things to complete. In order to account for the effects of randomness and fuzziness on the turnaround process duration, this paper deals with transforming the probability distribution of well-fitted sub-processes into a cumulative density function, which is equivalent to the fuzzy membership function (FMF), and then using goodness-of-fit to determine the fuzzy membership grade of each turnaround sub-process. The turnaround time is calculated using the fuzzy critical path method (FCPM), which is a combination of the Critical Path Method (CPM) and fuzzy set theory. In order to verify this estimate, we created the FMF using historical data and compared it to turnaround times based on FCPM. A linear regression model is used to examine the relationship between arrival delays and the FCPM-based turnaround process. We also use historical data to generate fuzzy sets of different arrival delays using Frankfurt airport data from the summer of 2017 and conclude that delays are positively correlated with the FCPM-based turnaround process.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2022.5.002
Ingrid Simões Ferreira Maciel, B. Prata, M. S. Nagano, L. R. Abreu
This study contributes to the hybrid flow shop due to a lack of consideration of characteristics existing in real-world problems. Prior studies are neglecting identical machines, explicit and sequence-dependent setup times, and machine blocking. We propose a hybrid genetic algorithm to solve the problem. Furthermore, we also propose a mixed-integer linear programming formulation. We note a predominance of the mathematical model for small instances, with five jobs and three machines because of how fast there is convergence. The objective function adopted is to minimize the makespan, and relative deviation is used as a performance criterion. Our proposal incorporates two metaheuristics in this process: a genetic algorithm to generate sequences (the flow shop subproblem) and a GRASP to allocate the jobs in the machines (the parallel machines subproblem). The extensive computational experience carried out shows that the proposed hybrid genetic algorithm is a promising procedure to solve large-sized instances.
{"title":"A hybrid genetic algorithm for the hybrid flow shop scheduling problem with machine blocking and sequence-dependent setup times","authors":"Ingrid Simões Ferreira Maciel, B. Prata, M. S. Nagano, L. R. Abreu","doi":"10.5267/j.jpm.2022.5.002","DOIUrl":"https://doi.org/10.5267/j.jpm.2022.5.002","url":null,"abstract":"This study contributes to the hybrid flow shop due to a lack of consideration of characteristics existing in real-world problems. Prior studies are neglecting identical machines, explicit and sequence-dependent setup times, and machine blocking. We propose a hybrid genetic algorithm to solve the problem. Furthermore, we also propose a mixed-integer linear programming formulation. We note a predominance of the mathematical model for small instances, with five jobs and three machines because of how fast there is convergence. The objective function adopted is to minimize the makespan, and relative deviation is used as a performance criterion. Our proposal incorporates two metaheuristics in this process: a genetic algorithm to generate sequences (the flow shop subproblem) and a GRASP to allocate the jobs in the machines (the parallel machines subproblem). The extensive computational experience carried out shows that the proposed hybrid genetic algorithm is a promising procedure to solve large-sized instances.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70782164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2022.4.002
M. Thangaraj, T. J. Kumar, K. Nandan
Job precedence can often be seen in various manufacturing process scenarios. For instance, in the context of flow shop scheduling, certain jobs must be processed before a specific job may be executed. Formally, this scenario is known as precedence constraint, which influences the optimal job sequence. Because of this practical significance, in this study, a two-machine flow shop scheduling problem in which transportation times, breakdown time, and weighted jobs are considered. In addition to that, an ordered precedence constraint is considered that ensures a successor job cannot start on any machine before its predecessor job has been done on all machines. This is the first study that deals with flow shop scheduling problems with transportation times, breakdown time, job weights, and precedence constraints altogether, to the best of the author’s knowledge. To solve this problem, a simple and efficient solution methodology is developed that assures optimal or near-optimal solutions effectively. The developed algorithm is tested on various test instances and results are reported, which will be useful for future comparative studies.
{"title":"A precedence constrained flow shop scheduling problem with transportation time, breakdown times, and weighted jobs","authors":"M. Thangaraj, T. J. Kumar, K. Nandan","doi":"10.5267/j.jpm.2022.4.002","DOIUrl":"https://doi.org/10.5267/j.jpm.2022.4.002","url":null,"abstract":"Job precedence can often be seen in various manufacturing process scenarios. For instance, in the context of flow shop scheduling, certain jobs must be processed before a specific job may be executed. Formally, this scenario is known as precedence constraint, which influences the optimal job sequence. Because of this practical significance, in this study, a two-machine flow shop scheduling problem in which transportation times, breakdown time, and weighted jobs are considered. In addition to that, an ordered precedence constraint is considered that ensures a successor job cannot start on any machine before its predecessor job has been done on all machines. This is the first study that deals with flow shop scheduling problems with transportation times, breakdown time, job weights, and precedence constraints altogether, to the best of the author’s knowledge. To solve this problem, a simple and efficient solution methodology is developed that assures optimal or near-optimal solutions effectively. The developed algorithm is tested on various test instances and results are reported, which will be useful for future comparative studies.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70781953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.5267/j.jpm.2022.5.003
Ngo Anh Tuan, Nguyen Luong Hai, Pham Huy Tung
Organizing function is the significant component of management guaranteeing the success of construction works. Many studies have been emphasizing on the topic of critical success factors (CSFs) within construction works, yet the results have rarely emphasized examining organizing behaviors within public construction work management; these less researched topics were the aims of this study. To fulfil this research aim, a regression analysis design was employed. Data were collected using questionnaires conducted from 139 professionals involved in public construction works management in Vietnam. The structural equation modelling (SEM) technique with partial least-squares estimation (PLS) was utilized to analyze the data. The results revealed 6 behavioral dimensions (i.e., structure organizing (OR1), authorization organizing (OR2), coordination organizing (OR4), human resource organizing (OR3), job organizing (OR5), responsibility organizing (OR6) to assess organizing function in terms of public construction work management. The study also reveals that structure organizing (OR1), authorization organizing (OR2), coordination organizing (OR4) have significant effects on management effectiveness (ME). In addition, coordination organizing (OR4) acts as the mediator of Human resource organizing (OR3), job organizing (OR5); while responsibility organizing (OR6) indicates an indirect influence through the mediator of OR5. The success of this approach is expected to reinforce the contribution of organizing function and suggest a useful tool for supporting the professionals in enhancing public construction work management.
{"title":"Modeling of organizing function management in Vietnam’s public construction works","authors":"Ngo Anh Tuan, Nguyen Luong Hai, Pham Huy Tung","doi":"10.5267/j.jpm.2022.5.003","DOIUrl":"https://doi.org/10.5267/j.jpm.2022.5.003","url":null,"abstract":"Organizing function is the significant component of management guaranteeing the success of construction works. Many studies have been emphasizing on the topic of critical success factors (CSFs) within construction works, yet the results have rarely emphasized examining organizing behaviors within public construction work management; these less researched topics were the aims of this study. To fulfil this research aim, a regression analysis design was employed. Data were collected using questionnaires conducted from 139 professionals involved in public construction works management in Vietnam. The structural equation modelling (SEM) technique with partial least-squares estimation (PLS) was utilized to analyze the data. The results revealed 6 behavioral dimensions (i.e., structure organizing (OR1), authorization organizing (OR2), coordination organizing (OR4), human resource organizing (OR3), job organizing (OR5), responsibility organizing (OR6) to assess organizing function in terms of public construction work management. The study also reveals that structure organizing (OR1), authorization organizing (OR2), coordination organizing (OR4) have significant effects on management effectiveness (ME). In addition, coordination organizing (OR4) acts as the mediator of Human resource organizing (OR3), job organizing (OR5); while responsibility organizing (OR6) indicates an indirect influence through the mediator of OR5. The success of this approach is expected to reinforce the contribution of organizing function and suggest a useful tool for supporting the professionals in enhancing public construction work management.","PeriodicalId":42333,"journal":{"name":"Journal of Project Management","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70782210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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