Purpose This research primarily aims to find and analyse the interaction among success factors for improving the performance of Indonesia’s dairy milk supply chain. Further, this research aims to formulate the right policies for improving the performance of the chain based on the success factor that belongs to cause groups. Design/methodology/approach The paper analyses 10 success factors for improving the performance of the Indonesian dairy supply chain with the decision-making trial and evaluation laboratory (DEMATEL) method and analyses the Delphi method to formulate the right policies for improving performance. Findings There are four important influencing factors that directly impact the overall system, i.e. the number of dairy cattle import, national milk demand, the total number of dairy farmers and the number of dairy cattle ownership or herd size. Several alternative policies have been designed by several experts according to the influencing factors, i.e. the government assists in the procurement of imported cattle, provides financial assistance to farmers in the form of low-interest financing, improves the partnership system between farmers and dairy cooperatives, provides a reward system for the farmers and increases the level of formality of contract between the farmers and cooperatives. Research limitations/implications Interrelationships of each success factor and the most important influencing success factors could not be generally determined because it depends on the point of view of the experts. Future research can apply the success factors proposed by this research to the different dairy milk supply chain. Then, this research used only nine experts for formulating alternative policies. Future research may repeat this method using multiple experts to justify the validity of the research. Moreover, this research only explored 21 success factors of the increase in the performance of the Indonesian dairy supply chain. Future research should consider not only the supply side and number of dairy cattle but also several success factors from the causal relationship diagram in the broader dairy milk supply chain. Practical implications This research provides essential insights for policymakers, as they have to understand and evaluate the success factors before formulating several alternative policies. Social implications The research has revealed that the right alternative policies can be designed, as the causal factor has been known. Originality/value This research contributes to applying a combination of causal relationship diagram of System Dynamic and DEMATEL method as a qualitative and quantitative method in one integrated way through performance dairy supply chain analysis. As a result, this research draws a policy for the dairy supply chain referring to the success factor as a cause for the low performance of the Indonesian dairy supply chain.

Mesin reng digunakan untuk memproduksi atap baja ringan jenis reng V belum sepenuhnya bekerja secara efektif. Hal ini ditunjukkan dengan adanya downtime, penurunan kecepatan produksi mesin, dan produk-produk yang tidak sesuai standard yang telah ditetapkan. Penelitian ini bertujuan untuk mengukur dan mengetahui tingkat efektivitas mesin reng dengan menggunakan metode Overall Equipment Effectiveness (OEE), mengidentifikasi faktor penyebab six big losses dengan menggunakan Fault Tree Analysis (FTA), dan memberikan usulan perbaikan untuk meningkatkan tingkat efektivitas mesin. Dari hasil penelitian,  OEE mesin reng mencapai rata-rata 57,55%, dan masih berada di bawah nilai OEE ideal (85%). Usulan perbaikan yang direkomendasikan meliputi eliminasi six big losses, mengembangkan program pemeliharaan, dan memberikan pelatihan untuk meningkatkan kemampuan maintenance dan operasional. Abstract The reng machine, which is used to produce lightweight steel roof with a kind V reng, has not fully worked effectively. This is indicated by the presence of downtime, speed losses, and produce products that are not according to standards that have been determined. This study aims to measure and determine the level of effectiveness of reng machine using Overall Equipment Effectiveness (OEE) method, identify factors that cause six big losses by using Fault Tree Analysis (FTA), and proposes improvements to increase the effectiveness of the machine. The result of research, OEE of reng machine reached an average of 57.55%, and still was below the ideal OEE (85%). Proposed improvements that recommended include the elimination of six big losses, develop a maintenance program, and provide training to improve the ability of maintenance and operations.

This study extends the theory of planned behavior (TPB) framework by introducing three further variables (i.e., learning experience, contextual factors, and green marketing) to explain how behavioral intention and actual behavior are induced by situational factors as well as green advertising from the company. Then, this study has four objectives. First, this study will assess the direct effect of personal factors (i.e., demographic factors) and contextual factors on learning experience and the direct effect of personal factors (i.e., demographic factors) on subjective norms. Second, this study will assess the direct effect of learning experience on social cognitive factors for a specific green product. Third, this study will assess the direct effect of social cognitive factors on intention purchasing behavior. Finally, this study will assess the role of green marketing as a moderating variable for the relationship between intention and purchasing behavior. Data used in this study were primary data, which were collected through closed questionnaires with a five-point Likert scale. This study succeeded in obtaining 602 valid data from the results of filling out questionnaires by participants. This study uses the partial least square (PLS) method with SmartPLS 3.0 for data processing. The result of data processing indicated that outcome expectation, self-efficacy, and subjective norms had significant positive effects on purchase intention for green personal care products. This study also found that the learning experience influenced both outcome expectation and self-efficacy. Although weak, the learning experience was influenced by demographic factors and contextual factors. The demographic factors that affect learning experience were gender and level of education. The contextual factor has a more substantial influence on learning experience in developing consumption-related attitudes to green personal care products than the demographic factor. Finally, this study also found the direct effect of intention on actual purchase behavior and the positive role of green marketing as the moderating variable.

a industrial engineering, institut Teknologi sepuluh nopember, surabaya, indonesia; b industrial engineering, universitas Diponegoro, semarang, indonesia; c industrial engineering, university of surabaya, surabaya, indonesia ABSTRACT Studies on customer's needs, desires and preferences have become highly important in the product design and development process. One consideration in usability is the cognitive aspect, which is related to the accommodation and evaluation of human cognitive capabilities, limitations and tendencies. In addition to the cognitive aspect, a recent study has shown that the affective aspect has been considered in the evaluation of product usability. Thus, both cognitive and affective aspects are deemed to be important for product design and the development process. Inherently, both aspects deliver complete human and product interaction and experience. However, studies that consider the affective process as a complement to the cognitive process for usability are relatively rare. To address this gap, this study discusses how an integrative framework of the cognitive and affective aspects can be applied to a product for usability assessment via empirical studies on e-commerce and e-learning platforms. The sample involved 230 respondents, using purposive sampling. The result shows that both cognitive and affective aspects have a significant effect, although with different weights. The affective aspect has been shown to improve product usability and user's acceptance. Relevance to human factors/Relevance to ergonomics theoryThis study takes the form of both cognitive and affective ergonomics associated with usability. One consideration in usability evaluation is the cognitive aspect, which is related to the accommodation and evaluation of human cognitive capabilities, limitations, and tendencies. In addition to that, a recent study has shown that the affective aspect has been considered in the evaluation of product and service usability. It shows both cognition and affect as the main focus in human centered design have been taken into account for product and service interaction.This research offers significant contributions. First, the findings can be used to determine the proportion of cognitive and affective aspects in product and service design, particularly those are related to usability evaluation. Product and service designers can gather feedbacks ARTICLE HISTORY