Abstract:Purpose: The purpose of this research is to develop a model that will explain the impact of government policies to the competitiveness of palm oil industry. The model involves two commodities in this industry, namely crude palm oil (CPO) and refined palm oil (RPO), each has different added value.Design/methodology/approach: The model built will define the behavior of government in controlling palm oil industry, and their interactions with macro-environment, in order to improve the competitiveness of the industry. Therefore the first step was to map the main activities in this industry using value chain analysis. After that a conceptual model was built, where the output of the model is competitiveness of the industry based on market share. The third step was model formulation. The model is then utilized to simulate the policy mix given by government in improving the competitiveness of Palm Oil Industry. Findings:The model can accommodate government's policy mix which is then optimized. The model has been built structurally based on hierarchical multi-level system approach, while in the process element, the subprocesses are built using VCA approach. The model can simulate industry performance, and show that such government policy mix can improve the competitiveness of Indonesian palm Oil Industry. Research limitations/implications:The model was developed using only some policies which give direct impact to the competitiveness of the industry. For macro environment input, only price is considered in this model.-231-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1582 Practical implications: The model can simulate the output of the industry for various government policies mix given to the industry. The techno-economic aspect is also discussed. Originality/value:This research develops a model that can represent the structure and relationship between industry, government and macro environment, using value chain analysis and hierarchical multilevel system approach.

Every company has to develop their managerial capability to maximize performance of every function in order to survive in an environment with drastic changes right now. This research was conducted at two governments owned manufacturing companies to compare the differences in managerial innovation. The method to assess the managerial innovation was based on elements of management function, which are planning, organizing, leading, controlling and coordinating. There were two methods in collecting the data, using questionnaire and doing observation. Questionnaires results were calculated using BPMSG AHP online system, to determine the score. The higher score of managerial innovation, the higher potential of the company to innovate. Managerial innovation score were 42.3% and 48.9%, which showed that none of them were innovative based on the previous research standard, which stated that innovation potential should be more than 50%. The differences between the two were also analysed based on every management function.

PT Sumber Inti Pangan is a spice and seasoning manufacturing industry that has continued to grow until now. The company's three-year trend of rising sales provides evidence of this growth. Since 2017, there has been an average growth in the consumption of spices and seasonings, according to rising sales trends and data on public consumption. The increase in average consumption and market opportunities trigger competition between companies. Companies must prepare, create, and obtain new sustainable products to compete. Managerial innovation has the potential to innovate products. In this study, SWOT analysis is used to propose long-term strategies that can help companies maximize strengths and opportunities and minimize weaknesses and threats. Managerial innovation analysis with the Fuzzy AHP method is used to analyze internal factors in the form of company strengths and weaknesses. Therefore, SWOT weaknesses that are still too broad, not detailed, and cannot prioritize the identified factors can be covered. On the other hand, PEST and Porter's Five Forces are used to analyze external factors in the form of opportunities and threats to the company. The results showed that the company's innovation rate was 52.262%. The company had innovated in the planning, leading, and controlling functions but could not innovate in the organizing and coordinating processes. Several strategies the company can utilize are conducting regular evaluations to get more innovative substitute products, adding organizational groupings based on customer base, and making annual plans.

Dual channel supply chain structure, which utilizes both online and traditional offline channel, is widely adopted by a lot of companies. The structure offers better market coverage and profitability. Despite the advantages, it also brings some challenges to coordinate the strategy of the channel. This paper proposes a pricing and inventory policy model to achieve better performance of the structure, where a product substitution was introduced in the offline channel. A price sensitive linear demand function was also incorporated in this EOQ model. The model then evaluated by analysing the profit in two scenarios, the Stackelberg Leadership scenario and Total Profit scenario. The results show that the total profit of this structure is higher under Total Profit scenario, in which the supply chain entities make decision simultaneously. The model also shows that the product substitution gives a positive effect to the profit and become a competitive advantage of the offline channel.

This research was developed to plan, monitor, and control the production in a modern manufacturing system model with heterogeneous production facilities, consisting of several automatic machine tools and conventional machine tools. Therefore, it proposed, a smart factory concept that utilises computer technology, internet networks and sensors so that the production process can be monitored. The sensor network monitors the condition of the machine tools and the status of the job. The temperature sensors, the vibration sensors, the electrical energy sensors are used to check tool conditions in machine tools. Meanwhile, the radio frequency identification (RFiD) system is used to check the status of the workpiece whether it has been completed, work in progress, or is waiting in a buffer or a pallet stocker. The information relating to the performance of the machine tools is sent using the IoT application so that through the web. The machine performance data are collected, and their status can be monitored. Likewise, job status is visible on the shop-floor control system. The sensor network model at the prototype scale had been built and tested on a laboratory scale. The test results showed that the performance of machine tools and job status were monitored properly.