To respond to the adoption of carbon pricing regulations, researchers and industry are developing low carbon inventory models that can meet emission reduction targets while maintaining company profits. The challenge is getting tougher when the company is still facing problems related to imperfect product quality. This research solves this problem by developing an economic order quantity (EOQ) model by considering several sources of carbon emissions, as well as the influence of the defective rates, different demand rates, selling price and holding cost for defective products, and shortages backorder. The objective function of the formulated mathematical model is to minimize the total costs which include the emission costs. A numerical example is developed to illustrate the model based on the previous data set. Sensitivity analysis is also carried out to validate the model and to learn more about the system characteristics. The total emissions are calculated and the affecting factors are identified.

This study aimed to measure the effect of attitude, subjective norm and perceived behavioral control on purchase behavior of consumers in Tangerang which are mediated by purchase intention and moderated by halal awareness. Data collection was done by simple random sampling to the 510 population of working consumers. The returned and valid questionnaire results were 311 samples. Data processing was used in the SEM method with SmartPLS 3.0 software. The results of this study concluded that attitude, subjective norm and perceived behavioral control have a significant effect on purchase intention. Meanwhile, purchase intention has a significant effect on working student purchase behavior, and halal awareness moderated effect of purchase intention on purchase behavior.

To ensure competition and survival of business, understanding the indicators or drivers of export performance is important. Based on the organizational learning theory and strategic fit theory, this study aims to test the influence of market exploration strategies (MERS) and market exploitation strategies (METS) on SMEs’ export strategic performance, export financial performance (EFP), and export customer performance (ECP). This study confirms the leading mediating role of product planning and development (PPD) in the effects of MERS and METS on export performance outcomes. The authors collected questionnaire data electronically from 122 experienced SMEs that conduct international transactions in Saudi Arabia. Results from the Analysis of Moment Structures indicate that MERS and METS positively influence export performance; PPD mediates the relationship between MERS and METS in export performance dimensions; and number of sales and ownerships are control variables that influence EFP and ECP, respectively. This study contributes to the literature and society by proposing a framework that addresses the direct and indirect relationships between export marketing strategies and PPD, and their effects on SMEs’ export performance.

The paper shows the results of an empirical study on the optimization of polymer waste supply chains based on the circular economy in Ukraine. The research shows that the main links in the activity should be harmonized for quality and quick optimization of polymer waste supply chains, including the processes of collecting, sorting, treatment, processing, and recycling of resources for maintaining the quality by total cost reduction. The research argues that the circular economy that stipulates the easy processing, recycling, disassembling, and restoring of products replaced the traditional linear model “take, produce, and throw out” that has dominated the economy by now. The study shows that the transformation of supply chains in production ecosystems forms competitive advantages at the enterprises that allow them to be more productive through efficient use of resources.

We study an inventory routing problem (IRP) for the restaurant chain. We proposed a model a multi-product multi-vehicle IRP (MMIRP) with multi-compatibility and site-dependency (MMIRP-MCSD). The problem was formulated as a mixed integer programming (MIP). This model is difficult to solve because it is a problem that integrates MMIRP, a multi-compartment vehicle routing problem (MCVRP), and a site dependent VRP (SDVRP), each of which is difficult even by itself. Therefore, in this study, we proposed three-stage Math Heuristics based on the cluster-first and route-second method. In the numerical experiment, verification was performed using actual data, and knowledge on the decision making of the optimum vehicle type was obtained.

The global competition in the manufacturing industry has obliged the companies to adopt an efficient and effective business process and adaptability of the company's competitive strategy following the external uncertainty conditions. The competitive strategy should enhance the competitiveness of the company, which is formulated during the strategic planning process. This paper investigates the impact of strategic planning, purchasing strategy, strategic partnership, on operational performance. The research has surveyed, using a questionnaire with a five-point Likert scale, 135 manufacturing companies domiciled in the region of East Java, Indonesia. Data analysis used the PLS technique. The objective of the analysis is to assess the measurement model for validity and reliability. Besides, the analysis also examines six hypotheses developed. The result reveals that all six hypotheses were empirically supported. The manufacturing company's strategic planning influences the purchasing strategy and strategic partnership. The result also shows that purchasing strategy through periodic evaluation of supplier capability, influences the strategic partnership in terms of involvement of suppliers in the business process of the company. Overall, strategic planning, purchasing strategy, and strategic partnership affect operational performance. It was also found that purchasing strategy and strategic partnerships mediate the influence of strategic planning on the performance. The results presented here may facilitate improvements in operational performance in the context of supply chain management. This paper also contributes to the ongoing research in the supply chain management theory.

The aim of this study is to identify and explore the success factors that influence the fresh product supply chain collaborative performance system (CPS) towards the flow of information among partners along the chain, and the supply chain relationships of all partners in it by identifying the role played by information structures at the planning level of supply chain collaboration, as well as providing policy insights to stakeholders in different countries to analyze applicable implementation. This research method uses a research approach by reviewing the previous literature that was selected deliberately during the last 10 years; journal papers, conferences, working papers, and Ph.D. thesis. Using three steps, the first step found 189 articles. The second step was to get 96 articles that match the topics raised. Finally, the third step, determined 39 articles selected as important topics focusing on fresh production areas and they were categorized and analyzed. This study is considered to be our best knowledge to examine the success factors influencing CPS in FPSC, such as; knowledge of the benefits of collaborative performance systems, reluctance to change, collaborative culture, trust, technology and information, social relations, environmental friendliness, and sustainability security and safety. The theoretical framework, was also developed incorporating the principles of supply chain network collaboration, taking into account the importance of business strategy and inter-organizational network theory, to strengthen the evidence for the relationship between the collaborative planning levels in usable information flow, at both the strategic, operational and tactical levels in the supply chain collaboration. The implication of this research is intended to examine the success factors that influence it, so that it can be developed and become the basis for improvement models that are still rarely applied in this field, from the influencing factors that exist in the collaboration structure.

This study aimed to investigate the extent of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan, where maximizing profitability of companies represented in both (reducing product costs and reducing ending inventory obsolescence) for those companies. In order to achieve the objectives of the study, a questionnaire was designed as a tool for study and was distributed to the study sample represented by administrative managers and financial managers in small and medium industrial companies. The study community consisted of (235) companies of small and medium industrial companies. The Robert Mason equation was used to determine the sample size which consisted of 146 companies, where this study distributed 292questionnaires, and 217 of them were received, while 33 questionnaires were excluded, and the final sample was 184 questionnaires. The results of the study showed that there is a statistically significant impact of applying just-in-time production system on maximizing profitability of small and medium industrial companies in Jordan, and there is a statistically significant impact of applying just-in-time production system on (reducing product costs and reducing ending inventory obsolescence) in small and medium industrial companies. The Study recommended a number of recommendations, the most important of which is: It is necessary to review the successful experiences of international companies that adopt applying just-in-time production system, and to benefit from them by small and medium industrial companies in Jordan in applying just-in-time production system as an advanced tool for cost management and thus maximizing their profitability.

Responsible Supply Chain (RSC) has become an important issue in the agricultural supply chain, along with the development of the sustainable agriculture concept. Furthermore, responsible agriculture helps to ensure the availability of food and maintain land quality, enabling the land to last for a long time. However, in practice, creating a responsible agricultural supply chain is rather difficult, especially in developing countries, where numerous barriers hinder the implementation of RSCs. This study therefore is an exploratory research aimed at finding the barrier factors to implementing responsible action in the agricultural supply chain. Multiple Case study research methods were conducted to provide answers to the research question. Meanwhile, data collection was performed through in-depth interviews with two agribusiness companies, and interpretive Structural Modelling was used to analyse the data obtained. The results showed the barrier factors faced in implementing responsible action within the agricultural supply chain include poor organizational capabilities, external actor involvement, and lack of supply chain integration. Organizational capabilities, including cost management, knowledge management, and organizational policy, play a significant role in implementing a responsible agriculture supply chain. This Implementation is also highly dependent on external involvement by government or non-government organizations (NGOs), as some supply chains take responsible action because of obligations or pressure from these organizations. Another barrier is inadequate supply chain integration, including integration, information sharing, and incentive alignment among supply chain members. Meanwhile, inadequate budget management, as part of organizational capabilities, is the major barrier giving rise to other challenges. The results of this study serve as a reference for supply chains, especially in the agriculture industry, while creating programs in a bid to reduce these inhibiting factors, to ensure responsible actions are well implemented well and able to provide a competitive advantage for all supply chain members.

The objective of this study is to analyze and review the influence of government regulations and information technology on the operational performance of local television stations in East Java with service supply chain management practices as the mediator variable and capital owner’s intervention as the moderator variable. The data of exploratory research was collected through questionnaires distributed to twenty-nine local televisions stations, selected through saturated sampling method from a population of local television stations in East Java, and was analyzed using structural equation modeling. The finding of this study reveals that government regulations and information technology significantly influence the operational performance of local television stations with service supply chain management (SCM) practices as the mediator variable, which means that better government regulations and better information technology are analogous with the importance for the improvement of local television stations operational performance. Capital owner intervention weakens service SCM practices on operating performance and has a direct and immediate effect on reducing the operational performance of local television stations. The practical implications of this study signify the understanding that service SCM practices is an important concept in enhancing the operational performance. Capital owner’s intervention weakens service SCM practices on operating performance of local television stations.