The arrival of the era of robots and autonomous machines is undisputable. It is anticipated that the future business environment will be characterized by a variety of intelligent systems and autonomous robots. In 2017, the International Federation of Robotics reported that momentum gained by robotic technologies is strong and that the sales volumes of both service and industrial robots is expected to grow. Building on this projection, the present study proposes a set of prerequisites or key determinants for the adoption of autonomous robots in the supply chain and logistics industry: technological context (i.e., relative advantage, complexity, and cost), organizational context (i.e., management support, financial support and employee competence) and environmental context (i.e., competitive pressure, customer pressure and vendor support). The study adapts a quantitative research design and uses an online survey to collect the needed data to test the conceptual framework and hypotheses proposed. Part of the study results confirms the association between the cost of digital technologies and the adoption of autonomous robots. However, the study found no evidence that the perceived relative advantage positively impacts supply chain and logistics firms’ adoption of autonomous robots. The study offers some managerial advices to supply chain mangers and marketers of the digital technologies and tools that can be applied in the supply chain setting.

Modelling is an effective way of designing, understanding, and analysing bio-refinery supply chain systems. The supply chain is a complex process consisting of many systems interacting with each other. It requires the modelling of the processes in the presence of multiple autonomous entities (i.e. biomass producers, bio-processors and transporters), multiple performance measures and multiple objectives, both local and global, which together constitute very complex interaction effects. In this paper, simulation models for recovering biomass from the field of the biorefinery are developed and validated using some industry data and the minimum biomass recovery cost is established based on different strategies employed for recovering biomass. Energy densification techniques are evaluated for their net present worth and the technologies that offer greater returns for the industry are recommended. In addition, a new scheduling algorithm is also developed to enhance the process flow of the management of resources and the flow of biomass. The primary objective is to investigate different strategies to reach the lowest cost delivery of sugarcane harvest residue to a sugar factory through optimally located bio-refineries. A simulation /optimisation solution approach is also developed to tackle the stochastic variables in the bioenergy production system based on different statistical distributions such as Weibull and Pearson distributions. In this approach, a genetic algorithm is integrated with simulation to improve the initial solution and search the near-optimal solution. A case study is conducted to illustrate the results and to validate the applicability for the real world implementation using ExtendSIM Simulation software using some real data from Australian Mills.

This research aims to show how decision sciences can make a significant contribution on handling the supply chain problem during Covid-19 Pandemic. The paper discusses how robust optimization handles uncertain demand in agricultural processed products supply chain problems within two scenarios during the pandemic situation, i.e., the large-scale social distancing and partial social distancing. The study assumes that demand and production capacity are uncertain during a pandemic situation. Robust counterpart methodology is employed to obtain the robust optimal solution. To this end, the uncertain data is assumed to lie within a polyhedral uncertainty set. The result shows that the robust counterpart model is a computationally tractable through linear programming problem. Numerical experiment is presented for the Bandung area with a case on sugar and cooking oil that is the most influential agricultural processed products besides the main staple food of the Indonesian people, rice.

The objective of the current study was to examine the role of supply chain and product development in sustainable performance, goodwill and firm popularity. Furthermore, the mediating role of product development was also examined. Population of the study was rubber manufacturing companies of Indonesia. In this regard, data were collected from the employees of rubber making companies of Indonesia. 500 questionnaires were used for data collection among the rubber making companies. Data was analyzed through statistical software. Results of the analysis revealed that the supply chain has a major contribution to sustainable performance, goodwill and firm popularity. Increase in the supply chain of rubber manufacturing companies, increases the sustainable performance, goodwill and firm popularity. Moreover, product development also has important contributions to the sustainable performance, goodwill and firm popularity. Supply chain has a positive effect on product development and product development has a positive effect on sustainable performance, goodwill and firm popularity.

This article investigates the supply chain analysis of the role of green human resource management including green behavior on the green work environment by emphasizing on the effect of direct supply chain analysis relation to green organizational culture and moderation of individual green values. This type of research is quantitative research. Primary data obtained from questionnaires distributed to 145 respondents. The collected data were analyzed using SEM-PLS (Structural Equation Model- Pear Least Square). Green organizational culture has a positive but insignificant effect on the work environment, green organizational culture has a positive and significant effect on green behavior, green behavior has a positive and significant effect on the green work environment, individual green values have a positive and significant effect on green work environments, green values individuals do not moderate the relationship between green organizational culture and green work environment, green behavior mediates the relationship between green organizational culture and green work environment. This research provides insight to leaders that to create a green work supply chain environment requires the role of green behavior as an intervening variable. However, the finding does not show the effect of individual green values as a moderating variable, so that green organizational culture can affect the green work supply chain environment. The existence of a green behavior variable that mediates the relationship between green organizational culture and green work environment is the originality of this study.

It is essential to improve the efficiency of hospitals, especially in the situation of Covid-19. Therefore, the primary purpose of this paper was to examine the effect of supply chain connectivity, perceived ease of use, and task technology fit on big data analytics and efficiency. This study assessed the mediating role of big data analytics as well. A survey questionnaire was developed to collect the data. The data was collected from the employees working in the hospitals of the UAE. For this purpose, convenient sampling was adopted. The questionnaire was adapted from past studies. The questionnaire was distributed among 426 employees. The usable response rate was 73.22%. The gathered data was assessed using PLS 3. The study's findings confirmed the direct effect of supply chain connectivity, perceived ease of use, task technology fit on big data analytics, and efficiency. This study also revealed the significant effect of big data analytics on efficiency. Moreover, the mediating role of big data is also confirmed in the present study. This study fills several theoretical and managerial gaps mentioned. The study's findings are helpful for the policymakers and academicians of the health sector.

3D printers and robots (3DPR) are new technologies that may disrupt traditional supply chains.The location of the manufacturing place can be moved toward more customer side in the supply chain, which brings both agility and the ability of customization.The impact is yet to be examined quantitatively. In this paper we study the location of 3DPR in the supply chain. We present and compare three models of supply chains: Traditional supply chain; 3DPR at warehouse; 3DPR at shop. The semodels are compared by the equipment installation cost, the production cost,and inventory cost for safety-stock. The study presents a practical case study motivated from a real-world apparel company, discusses the three models under various parameter settings, comparing the obtained total cost and discovers the advantages and disadvantages.

Over the past 40 years, global air travel has increased eight-fold: In 1974 air planes carried 421 million people globally. This means that global air travel has been growing up about 5% every year for 4 decades and this trend is expected to continue in the future. While demand growth is an important factor for the profitability of the airline industry, its impact quite depends on the operational performances such as load factor, passenger yield, labor efficiency and fuel efficiency. So, the objective of this study is to analyze companies competing in the airline industry to address how to use the return on invested capital (ROIC) tree model to analyze the effect of operational performances on airline companies’ financial performance and then how to increase the financially inferior company’s per-formance by intimidating the operationally and financially superior and productive company. In the case of the Korean airline industry, two leading legacy airline companies called as a company A and B were selected to do the computational study for the effect of operational performance on the financial performance and productivity. We analyzed the financially high-performing company using the ROIC tree model and then looked at financially how much the inferior company would be improved if it could imitate some factor consisting of the productivity ratios from the financially high-performing company.

Employees have collective skills, abilities and experience that contribute to the interests of the company where they work, and can contribute to the success of supply chain and is a resource that is an asset in achieving supply chain excellence. To examine this relationship, this study investigates the role of human resources management (HRM) on the supply chain management of fertilizer companies in Indonesia, which is focused on the distribution and logistics of fertilizer from producer to their network and consumers. This study took samples from two fertilizer companies in East Java, structural equation modeling (SEM) analysis was carried out with the Smart PLS. 18 (Partial Least Square) program, and shows the value of t = 348.825 with p = 0.000 (p < 0.000) which means there is a significant effect of implementing enterprise human resources management (HRM) standards on company supply chain excellence and represents indicators of management strategy, cost leadership, focus on productivity, logistics, distributions, operational effectiveness, differentiation, and cooperation with companies or other institutions that support each other. The results of this study have provided an overview of the application of enterprise capable of supporting human resource management. Enterprise standards in both fertilizer companies are applied regularly, starting from checking the completeness of the employee database, including contact information, details of salary, compensation and benefits; attendance, employee performance, career planning, work relations, socialization, and informal communication so that the company would be able to adapt and be more flexible towards every need in the present and in the future.

The rice industry policy must be comprehensive with a scope of policy from upstream to downstream. In other words, it must cover all supply chains of the rice industry consisting of five levels, such as, the level of farmers who process rice, grain traders, rice traders, rice traders in production areas and rice traders in urban markets.The purposes of this research are (1) to identify and model the current supply chain system of the rice industry; (2) analyze the simulation of the rice industry supply chain system policy; and (3) recommend rice industry policies which provide incentives for all rice industry supply chain actors. The research method used is the case study method. The aim is to understand a phenomenon in the rice industry supply chain system in depth in West Java Province – Indonesia. The results show that the rice industry supply chain system model is a closed cycle consisting of material flow feedback in the form of grain, rice, money and information flow in the form of demand that occurs in the interaction of actors from farmers, grain traders, rice milling units (RMU), rice traders in production centers to rice traders in urban wholesale markets in Bandung and Jakarta. Every businessman in the rice industry has the same goal, which is to maximize the profits. Thus, it can potentially lead to a conflict of interest which is manifested in the desire of every businessman to sell as much as they produce at the highest possible price but this will not happen because of the limited resources they have, such as capital and the market demand they receive. The strategy of increasing production is often carried out by the government at this time which it cannot be done partially without considering other rice industry supply chain instruments. The impacts of this partial policies are farmers, collectors, rice traders and rice mills gain unstable profits and the benefits received are lower than before the production strategy and policy were implemented. The recommended policy strategy is the rice industry supply chain system should be able to guarantee the availability of sufficient rice and capable of guaranting the welfare of farmers with a policy that integrates rice farming and agro-industry production strategies, financing strategies and accessible to all levels of actors in the rice industry supply chain, human resource development strategies and rice business risk management strategies, simultaneously. The integrated policy strategy needs to be carried out since rice supply chain management is a coordinating system of material flow in the form of grain, rice, money, facilities and information flow in the form of orders or requests, knowledge and innovation.