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.
The retail industry such as minimarkets has many products consisting of several types of products that have expiration dates. Their warehouses have limited capacity, making it difficult to make decision about optimum inventory. Most of the suppliers will give permissible delay in payment, that can be used to increase income potential through earned by considering the risk of fines imposed if payments are exceeded and help companies raise capital before generating sales. These three factors must be considered when developing the inventory model. The purpose of this study is to develop a multi-item inventory model by considering perishable or damaged products, permissible delay in payment in limited warehouse. Model development is carried out in 2 stages. The first stage was the development of a multi-item EOQ model by considering product defects and permissible delay in payment. The second stage model is by adding a capacity constraint factor to the model. The results obtained are getting the optimal order quantity by considering the number of product types, product damage factors, late payments in limited warehouses, the best ordering policy can be found, and it is known that the total inventory costs to changes in parameters are good and sensitive to changes in percentage, interest percentage, payment allowances, and warehouse capacity through sensitivity tests.
Indonesian Palm Oil Industry has the largest market share in the world, but still faces problems in order to strengthen the level of competitiveness. Those problems are in the industry chains, government regulation and policy as meso environment, and macro economic condition. Therefore these three elements should be considered when analyzing the improvement of competitiveness. Here, the governmental element is hoped to create a conducive environment. This paper presents the industry competitiveness conceptual model, using hierarchical multilevel system approach. The Hierarchical multilevel system approach is used to accommodate the complexity of the industrial relation and the government position as the meso environment. The step to develop the model firstly is to define the relevant system. Secondly, is to formulate the output of the model that is competitiveness in the form of an indicator. Then, the relevant system with competitiveness as the output is built into a conceptual model using a hierarchical multilevel system. The conceptual model is then discussed to see if it can explain the relevant system, and the potential of it to be developed into a mathematical model.
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