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Additive manufacturing (AM) is gaining interest among researchers and practitioners in the field of manufacturing. One major potential area of AM application is the manufacturing of spare parts, which affects the availability of the operation and supply chain. The data show that the application and adoption of AM has contributed to a reduction in lead times and inventory, which also contributes to a reduction in holding costs. This paper provides a review of recent work on the application of AM technology specifically for spare parts. The review shows that there are supply chain opportunities and challenges to the adoption of AM in spare parts within various application sectors. Our research reviews both the quantitative and qualitative models used for analysis to meet the emerging needs of the industry. The review also shows that the development of technology and its application is still emerging; therefore, there will be further opportunities to develop better spare parts supply chains to support AM applications. This paper concludes with future research directions.

Carbon footprinting of products and services is getting increasing attention due to the growing emphasis on carbon related policies in many countries. As a result, many enterprises are focusing on the design of green supply chains (GSCs) with research on supply chains (SCs) focused not only on cost efficiency, but also on its environmental consequences. The review presented in this paper focuses on the implications of carbon policies on SCs. The concept of content analysis is used to retrieve and analyze the information regarding drivers (carbon policies), actors (for example, manufacturers and retailers), methodologies (mathematical modeling techniques), decision-making contexts (such as, facility location and order quantity), and emission reduction opportunities. The review shows a lack of emissions analysis of SCs that face carbon policies in different countries. The research also focuses on the design of carbon policies for emissions reduction in different operating situations. Some possible research directions are also discussed at the end of this review.

With the increasing need for cooling and the concerns for pollution due to fossil fuel-based energy use, renewable energy is considered an add-on to cooling technologies. The climatic condition in the Middle East, analyzed in this paper, provides the potential to integrate solar energy with the cooling system. Due to the availability of various solar energy and cooling technologies, multiple configurations of solar-cooling systems can be considered to satisfy the cooling demand. The research presented in this paper aims to assess and compare these configurations by considering the energy prices and the installation area. The proposed model is formulated in Mixed-Integer Linear Programming and optimizes the holistic system design and operation. The economic, renewable energy use, and environmental performances of the optimal solution for each configuration are analyzed and compared to the base grid-DCS configuration. Results show that the electricity tariff and the available installation area impact the economic competitiveness of the solar energy integration. When electricity tariff is subsided (low), the conventional grid-based DCS is the most competitive. The PV-DCS configuration is economically competitive among the solar assisted cooling systems, and it can contribute to reducing the environmental impact by 58.3%. The PVT-DCS configuration has the lowest operation cost and the highest environmental performance by decreasing the global warming potential by 89.5%. The T-DCS configuration becomes economically competitive only at high electricity tariffs.

PurposeProject management skills are important for today’s engineers, as they get involved in various project-based employment roles. The purpose of this paper is to discuss a learning model to provide project management knowledge through scaffolding and project-based learning (PjBL) methods in the project engineering course.Design/methodology/approachThis paper discusses a generic learning model that includes how scaffolding and project-based methods are integrated to provide project management skills to the students. The paper uses the survey method to collect and analyze data on the applicability of the model.FindingsStatistical analysis of the collected data shows that the respondents positively perceive the value of the learning model to gain project management knowledge and skills. The response shows that the model is useful not only to the current students but also the graduates who use project management skills in their employment.Practical implicationsThe learning model can be used by the instructors to provide project management skills to undergraduate and graduate students from all education disciplines.Originality/valueThis paper focuses on the development of a unique learning model, and artifacts used by the students and the instructors for interactive learning and gaining skills on project management.

The greenhouse gas emissions due to the energy use in production and distribution in a supply chain are of interest to industries aiming to achieve decarbonization. The industry subjected to carbon regulations require recycling and reusing materials to promote a circular economy through a closed-loop supply chain (CLSC). In this research, we propose a two-stage stochastic model to design the CLSC under a carbon trading scheme in the multi-period planning context by considering the uncertain demands and carbon prices. We also provide a four-step solution procedure with scenario reduction that enables the proposed model to be solved using popular commercial solvers efficiently. This solution makes the proposed model distinguished from the existing models that assume the firms can purchase or sell carbon credits without quantity limitation. The application of the proposed model is demonstrated via simulation-based analysis of the aluminum industry. The results that the proposed stochastic model generates a network with capacity redundancy to cope with the varying customer demands and carbon prices, while only a slight increase in cost and emission is observed compared with the deterministic model. Furthermore, using scenario reduction, the model solved with 80% of the scenarios share the same CLSC network configuration with the model with full scenarios, while the deviation of the total costs is less than 0.53% and the computational burden can be diminished by more than 40%. This research is expected to be useful to solve optimization problems facing large-scale scenarios with known occurrence probabilities aiming for energy conservation and emissions reduction.

Purpose: In most countries, development, growth, and sustenance of industrial facilities are given utmost importance due to the influence in the socio-economic development of the country. Therefore, special economic zones, or industrial areas or industrial cities are developed in order to provide the required services for the sustained operation of such facilities. Such facilities not only provide prolonged economic support to the country but it also helps in the societal aspects as well by providing livelihood to thousands of people. Therefore, any disaster in any of the facilities in the industrial area will have a significant impact on the population, facilities, the economy, and threatens the sustainability of the operations. This paper provides review of such literature that focus on theory and practice of disaster management in industrial cities. Design/methodology/approach: In the paper, content analysis method in order to elicit the insights of the literature available. Findings: It is found that the research is done in all phases of disaster management, namely, preventive phase, reactive phase and corrective phase. The research in each of these areas are focused on four main aspects, which are facilities, resources, support systems and modeling. Nevertheless, the research in the industrial cities is insignificant. Moreover, the modeling part does not explicitly consider the nature of industrial cities, where many of the chemical and chemical processing can be highly flammable thus creating a very large disaster impact. Some research is focused at an individual plant and scaled up to the industrial cities. The modeling part is weak in terms of comprehensively analyzing and assisting disaster management in the industrial cities. Originality/value: The comprehensive review using content analysis on disaster management is presented here. The review helps the researchers to understand the gap in the literature in order to extend further research for disaster management in large scale industrial cities.

With the increasing demand for innovation in the automotive industry, understanding the innovation parameters and their relationship has become important. Researchers have discussed such parameters, often in isolation, and often the comprehensiveness of the complexity of innovation is based on a particular situation. Therefore, the focus of this paper is to provide a comprehensive understanding of research perspectives on innovation in the automotive industry. This paper shows that the innovation level of automotive companies differs based on their core business and often on the resources available. The parameters for innovation in terms of its inputs and outputs, the metrics on innovation within automotive firms, and innovation policies vary across companies based on their organizational culture and business environment, particularly regarding innovation types and contexts such as products, processes, and positioning.

The success of a construction project depends on different factors, the knowledge of the project managers, and the type of project being developed. In this paper, based on a review of the literature, 23 factors are identified as critical and they are grouped into top-management support, project manager’s skills, project team skills, and stakeholder-management knowledge. A framework with 23 hypotheses is developed to assess the relation between these factors and project performance. The analysis of the framework is conducted based on the responses obtained from a survey of 266 engineers working on construction projects in Qatar. The results show a positive relationship between critical success factors and project performance. The highest positive perception is shown for stakeholder engagement by the top management (mean = 5.589 ± 0.582) and the lowest positive perception for the need to predict stakeholder influence (mean = 3.939 ± 0.852). The analysis of the relative importance of these factors shows that the top-management support category is ranked highest for the success of a project. Although the perceptions are based on Qatar’s study, the success factors, their relationship with project success criteria, and project performance are global; therefore, the framework could be tailored and applied in different project contexts.

Logistics companies have benefited from the use of information and communications technology (ICT) in their business processes. Although ICT is being promoted in the Singapore logistics industry, details on status and perception towards ICT are not well-known. Therefore, in order to understand ICT penetration, a study is necessary. In this paper, the current status of ICT use in warehouse and transportation service providers obtained through a sample survey is reported. A framework is adopted to assess the perception of logistics companies towards ICT. The results show that most of the logistics companies use ICT but their level and type depend mainly on the size of the company and the availability of technology. Logistics companies in Singapore provide services to more than one industry type and, in most cases, one logistics company provides multiple logistics functions. These companies consider efficiency, cost savings, reduced data entry error and increased customer service level as opportunities from ICT. The analysis of perception indicates that the use of ICT in Singapore is perceived positively with the increase in size of a company but is indifferent regarding the type of industry covered and the type of service offered by the logistics companies. This is a comprehensive study to understand the status of ICT in logistics in Singapore. An understanding of motivators and barriers on ICT can help the decision makers in devising better policies and programs, if required, to increase ICT penetration. The result also gives an indication as to the level of business fulfillment that can be provided by the logistics industry in Singapore.

PurposeThis systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.Design/methodology/approachBuilding upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.FindingsThis systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.Originality/valueThis study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.