An Extended IDM Business Model to Ensure Time-to-Quality in Semiconductor Manufacturing Industry

Author(s):  
Muhammad Kashif Shahzad ◽  
Stéphane Hubac ◽  
Ali Siadat ◽  
Michel Tollenaere
2021 ◽  
Vol 13 (10) ◽  
pp. 5647
Author(s):  
Burhan ◽  
Udisubakti Ciptomulyono ◽  
Moses Singgih ◽  
Imam Baihaqi

Increased manufacturing activity has an impact on environmental quality degradation. Waste generated from manufacturing activities is one of the causes. Previous studies have referred to this waste as value uncaptured. Minimizing value uncaptured is a solution to improve environmental quality. This study aims to reduce value uncaptured by converting it into value captured. This process requires a value proposition design approach because of its advantages. One of the advantages of this approach is that it can improve existing or future products/services. To do so, this research uses a case study of a furniture company. To implement a converting process, a sustainable business model is proposed to solve this problem. This business model combines several methods: value proposition design, house of value and the product sustainability index matrix. Recently, the existing value proposition problem-solving has been using the value proposition design method. This research proposed implementing a house of value to replace the fitting process. The questionnaire is developed to obtain various value uncaptured in the company. To the weight of the value uncaptured, this research utilized the pairwise comparison method. Then, the weights could represent the importance of jobs. Based on the highest weight of these jobs, the alternative gains would be selected. To provide the weight of the gain creators and value captured, the house of value method is developed. Referring to three pillars of sustainability, the value captured should be considered. This research proposed implementing a product sustainability index which in turn produces eco-friendly products. This study produces “eco-friendly products” as sustainability value captured. The sustainability business model could be an alternative policy to minimize the existence of value uncaptured.


Author(s):  
Marco Cucculelli ◽  
Ivano Dileo ◽  
Marco Pini

AbstractWe examine whether the probability of innovating a company’s business model towards the Industry 4.0 paradigm is affected by external institutional support and family leadership. Industry 4.0 is the information-intensive transformation of global manufacturing enabled by Internet technologies aimed at reinventing products and services from design and engineering to manufacturing. Using a sample of 3000 firms from a corporate survey on the manufacturing industry in Italy, our results showed that family leadership has a significant positive influence on the adoption of Industry 4.0 business models, but only in terms of family ownership. By contrast, family management has a negative influence on the probability of adopting a new business model. However, this negative influence is almost totally offset by the presence of the Triple Helix, i.e. the external support by public institutions and universities, which counterbalances the lower propensity of family managers to adopt Industry 4.0 business models. This supporting role only occurs when institutions and universities act together.


2018 ◽  
Vol 25 (7) ◽  
pp. 1992-2017 ◽  
Author(s):  
Kaustov Chakraborty ◽  
Sandeep Mondal ◽  
Kampan Mukherjee

Purpose Approximately, 800m tons of e-waste is generated per year in India. Reverse supply chain (RSC) is the probable strategy to cope up with the issue. Setting up a RSC process is not popular in the Indian sector. There are several factors that basically control the profitability of such kind of business. Hence, the purpose of this paper is to develop a causal model among the identified issues and sub-issues for setting up a RSC in an Indian semiconductor manufacturing industry and then evaluate the critical issues based on the causal relations. Design/methodology/approach Decision-making trial and evaluation laboratory (DEMATEL) method along fuzzy set theory is used to develop the causal framework among the identified strategical and tactical issues. According to the causal relations from DEMATEL, analytical network process is then used to identify the weights of the sub-issues. Findings The cause–effect interactions among the main issues show that legislations and regulations, market-related issues and organizational issue are the most significant strategic issues. Uncertainty in the acquisition time is the most significant tactical issue because it has a crucial impact on the quality and quantity of the used products. Based on the obtained causal relations of the main issues, it is identified that the reduction of waste, creation of new opportunity, market competition, cost reduction, change in technology and location, capacity and number of recovery facility are the major sub-issues in RSC implementation. Practical implications This study is conducted on the basis of the experts’ opinion from a semiconductor manufacturing industry, situated in the southern part of India. Therefore, this proves its practical implications. Originality/value The paper provides the detail illustration of the issues in the RSC process, and the prioritization of the issues based on the cause–effect relationships also provides some meaningful managerial insights.


Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 857 ◽  
Author(s):  
Ishaq Adeyanju Raji ◽  
Muhammad Hisyam Lee ◽  
Muhammad Riaz ◽  
Mu’azu Ramat Abujiya ◽  
Nasir Abbas

Shewhart control charts with estimated control limits are widely used in practice. However, the estimated control limits are often affected by phase-I estimation errors. These estimation errors arise due to variation in the practitioner’s choice of sample size as well as the presence of outlying errors in phase-I. The unnecessary variation, due to outlying errors, disturbs the control limits implying a less efficient control chart in phase-II. In this study, we propose models based on Tukey and median absolute deviation outlier detectors for detecting the errors in phase-I. These two outlier detection models are as efficient and robust as they are distribution free. Using the Monte-Carlo simulation method, we study the estimation effect via the proposed outlier detection models on the Shewhart chart in the normal as well as non-normal environments. The performance evaluation is done through studying the run length properties namely average run length and standard deviation run length. The findings of the study show that the proposed design structures are more stable in the presence of outlier detectors and require less phase-I observation to stabilize the run-length properties. Finally, we implement the findings of the current study in the semiconductor manufacturing industry, where a real dataset is extracted from a photolithography process.


2019 ◽  
Vol 42 (1) ◽  
pp. 59-68
Author(s):  
Heejin Woo ◽  
Jake Grandy

Purpose By introducing how a young entrepreneurial firm leverages bundling as a market entry strategy, this study aims to suggest a way that a relatively vulnerable startup can secure its position from a threat of resource-rich established competitors. Design/methodology/approach The authors conducted a qualitative investigation into Nikola Motors, a Class 8 heavy-duty truck manufacturer based in Phoenix, Arizona. The analysis revealed the underlying mechanisms that allow a startup to effectively enter a market through bundling in the truck manufacturing industry. Findings Nikola Motors Co. uses a bundled business model in commercializing hydrogen-power technology used for heavy-duty truck manufacturing. Instead of focusing on a single product, Nikola’s business model created an ecosystem surrounding hydrogen fuel-cell electric heavy trucks, including hydrogen fueling stations, maintenance service and leasing. By leveraging partnership with players in other areas, it overcomes the resource limitation as a relatively small firm. Originality/value Startups seeking to disrupt markets with novel technologies risk losing their competitive advantage to imitation by more resource-rich established firms. This study examines a novel approach to a bundled business model that can be effective for relatively resource-poor new companies. It suggests practical implications on how firms which are relatively in a weak position compete with established incumbents.


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