Manufacturing firms face great pressure to reduce downtime as well as maintenance costs. Condition-based maintenance (CBM) can be used to effectively manage operations and maintenance by monitoring detailed machine health information. CBM policies and the development of the mathematical models have been growing recently. This paper provides a review of the theoretical and practical development in the field of condition-based maintenance and its current advancements. Standard CBM platform could make it effective and efficient in implementation and performance improvement.

This paper aims to improve the implementation standards of solar-energy-based street lighting in Indonesia. A model framework was developed to assess existing conditions regarding the level of lux, the distance between poles, pole height, and lamp power. According to the evaluation of the existing circumstances, the street lighting system is not satisfactory according to the national standard, with 64.7% black area. An alternative installation of street lighting designed by DIALux application was proposed to fulfill the technical standard of street lighting. The result shows that this alternative design can be used for renewing existing street lighting with better performance and reliability. Economic analysis of all technically feasible alternatives was conducted afterward by benefit–cost analysis. The analysis shows that solar-energy-based street lighting requires as much as 621,473,620.00 Indonesian Rupiah (IDR), with 1.06 benefit–cost ratios and a 9% reduction of total cost. Therefore, the analysis indicates that solar-energy-based technology can be feasibly implemented in a street lighting system. The results show that the proposed model can be applied to improve the implementation standard of solar-energy-based street lighting.

Big data analytics, described as the fourth paradigm of science breaking through Industry 4.0 technological development, continues to expand globally as organizations strive to attain the utmost value and sustainable competitive edge. Yet, concerning its contribution to developing sustainable products, there is a need for innovative research due to limited knowledge and uncertainty. This research is hence aimed at addressing (a) how research on big data analytics for sustainable products has evolved in recent years, and (b) how and in what terms it can contribute to developing sustainable products. To do so, this study includes a bibliometric review performed to shed light on the phenomenon gaining prominence. Next, the fuzzy technique for order of preference by similarity to ideal solution, along with a survey, is used to analyze the matter in terms of the respective indicator set. The review’s findings revealed that there has been growing global research interest in the topic in the literature since its inception, and by advancing knowledge in the area, progress toward sustainable development goals 7, 8, 9, 12, and 17 can be made. The fuzzy-based analytical findings demonstrated that ‘product end-of-life management efficiency’ has the highest contributory coefficient of 0.787, followed by ‘product quality and durability’ and ‘functional performance’, with coefficients of 0.579 and 0.523, respectively. Such research, which is crucial for sustainable development, offers valuable insights to stakeholders seeking a deeper understanding of big data analytics and its contribution to developing sustainable products.

Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user interfaces. The simulation and system modeling is created by using Powersim software with the intent to obtain the simulation and single document interface (SDI) of the supply chain model. The result shows that land expansion policy is a top priority for realizing food self-sufficiency while increasing productivity and reducing costs of agricultural activities are the main priorities for improving the welfare of farmers.