Drawing upon three strategies of demand-driven supply chain intelligence, this study examines the effects of three factors of demand-driven supply chain intelligence, including customer knowledge ...management capability, knowledge sharing, and cooperation, on a JIT supply chain, which is operationalized by production planning, sourcing, and logistics. It also assesses the effect of a JIT supply chain on operational performance. Employing path analysis on the data collected from manufacturing firms, this study offers empirical evidence of the pivotal role of demand-driven supply chain intelligence in achieving a JIT supply chain and its resultant performance implications. The theoretical and practical contributions are addressed.
파이썬은 다른 정적 언어(예, C, C++, FORTRAN 등)에 비해 실행 속도가 느리기 때문에 대규모 반복이 필요한 지구동역학 코드를 작성하는데 적합하지 않은 것으로 인식되어 왔다. 그러나 파이썬의 계산 속도를 향상시키기 위해 Just-In-Time (JIT) 컴파일 등과 같은 많은 고속화 수단이 개발되었다. 우리는 파이썬을 기반으로 JIT 컴파일러에 ...최적화된 맨틀 유동 지구동역학 코드를 개발했다. 코드는 지구동역학 분야에서 널리 사용되는 PIC (Particle-In-Cell) 방법과 유한요소법을 결합하여 맨틀 대류를 수치 모사하며, 코드의 신뢰성을 정량적으로 평가하기 위해 잘 알려진 2차원 맨틀 대류 문제를 벤치마킹했다. 수치 모사 결과, 제곱근 평균 제곱 속도와 넛셀 수가 이전 연구와 거의 일치함을 확인했다. JIT 컴파일러를 적용한 코드는 적용하지 않았을 경우와 대비해 계산 속도가 PIC 방법에서 최대 258배, 전체 행렬 조립 과정에서 최대 30배 향상했다. 따라서, 이번 연구는 파이썬의 계산 성능이 JIT 등의 가속기를 이용하여 충분히 향상되며, 많은 지구 동역학 문제를 해결하는데 활용될 수 있음을 제시하였다.
As the execution speed of Python is slower than those of other programming languages (e.g., C, C++, and FORTRAN), Python is not considered to be efficient for writing numerical geodynamic code that requires numerous iterations. Recently, many computational techniques, such as the Just-In-Time (JIT) compiler, have been developed to enhance the calculation speed of Python. Here, we developed two-dimensional (2D) numerical geodynamic code that was optimized for the JIT compiler, based on Python. Our code simulates mantle convection by combining the Particle-In-Cell (PIC) scheme and the finite element method (FEM), which are both commonly used in geodynamic modeling. We benchmarked well-known mantle convection problems to evaluate the reliability of our code, which confirmed that the root mean square velocity and Nusselt number obtained from our numerical modeling were consistent with those of the mantle convection problems. The matrix assembly and PIC processes in our code, when run with the JIT compiler, successfully achieved a speed-up 30× and 258× faster than without the JIT compiler, respectively. Our Python-based FEM-PIC code shows the high potential of Python for geodynamic modeling cases that require complex computations.
Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of ...products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management.
A successful Just in Time (JIT) implementation is based on human resources integration (managers, operators and suppliers) and other lean manufacturing techniques applied in the production process. ...However, the relationship between these variables is not easily quantified. This paper reports a structural equation model that integrates variables associated with JIT implementation: management commitment, human resources integration, suppliers and production tools and technique, which affect the benefits gained, and are integrated into nine hypotheses or relationships among then. The model is evaluated with information from 352 responses to a questionnaire applied to manufacturing industry, and partial least squares technique is used to evaluate it. The direct effects, sum of indirect effects, and total effects are quantified, and a sensitivity analysis based on conditional probabilities is reported to know scenarios associated with low and high levels in variables’ execution and how they impact the benefits obtained. Findings indicate that managerial commitment is the most important variable in the JIT implementation process, since managers are the ones that determine the relationships with suppliers, integrate human resources, and approve the lean manufacturing techniques and tools that support the JIT.
The Covid‐19 pandemic and other recent disruptions in the early 2020s led to sections in the business press blaming just‐in‐time (JIT) practices for operational failings. Consequently, there are ...calls for moving away from JIT toward holding more inventory as preparation against future disruptions, which is referred to as just‐in‐case. The academic community is also divided. Some scholars argue that JIT is not resilient, while others maintain that JIT can continue providing superior performance even with disruptions. Motivated by this debate, we discuss various misconceptions about JIT that underlie this debate. Furthermore, we present different ways to adapt JIT for turbulent environments and argue that companies can improve their supply chain performance if JIT supply chain segments are chosen fittingly—even more so—during disruptions.
The intense competition in the current marketplace has forced local companies to re-examine their methods of doing business to improve product quality and reduce cost of production at a faster ...ratethan its competitors (Singh & Ahuja, 2012). The South African manufacturers have struggled with growing trade deficits and outsourced operations. Although proponents cite the many benefits of JIT adoption, its implementation rate in South Africa has been relatively conservative and is highly criticized, especially in comparison with India (Jacobs, 1997; Singh Ahuja, 2014). The purpose of the study is to verify the financial impacts on a company’s performance on reduction of waste by implementing the JIT principle. The focus of the study will be looking at the profit derived of a company’s production line by comparing the amount of waste reduction of a JIT line, as opposed to a non-JIT line. This is of significant importance, since the profits of a company effects the GDP of South Africa, and increases employment (Jacobs, 1997). This study is a replication from Cua (2000) and is a quantitative study. The case study company, Sabertek, has two different manufacturing plants where one plant uses JIT, whilst the other plant does not use JIT. Structured questionnaires were considered and administered to the senior staff and various technical staff of each plant for the collection of primary data. This was approximately 120 personnel (60 questionnaires in each plant) with a total expected response rate of 30%. This was used to compare the profit of a JIT line, as opposed to a non-JIT line, especially in relation to reduction of waste. Secondary data from the company’s financial records of each plant relating to the return rate from rework, sales, profit from the different production lines were equally looked at.
Keywords: JIT, market place, profit, JIT line, non-JIT line, primary data, secondary data. JEL Classification: L10, D21, C8
•A new manufacturing paradigm named Zero-Warehousing Smart Manufacturing (ZWSM) is introduced from aspects of the concept, practices, principles, and core technologies.•A Zero-Warehousing Smart ...Manufacturing Platform (ZWSMP) is developed with the Internet of Things-enabled infrastructures. Corresponding logistics services are presented to provide real-time visibility and achieve daily operations.•A case study of Hong Kong prefabrication construction project is investigated to demonstrate the materials delivery process among different supply chain partners to provide a basis for zero-warehousing achievement.
Over the past half-century, manufacturers have strived to achieve “Zero Inventory (ZI)” manufacturing, which puts the burden on suppliers to build their warehouses nearby production lines to meet the strict time delivery requirements of ZI production. Considerable improvements in manufacturing processes have been made. However, this practice in the meanwhile brings excessive warehousing operations along the supply chain. Recently, massive up-front investment has been made by some larger manufacturers for industrial 4.0 and warehouse automation to facilitate warehousing operations, such as put away and picking. However, warehouse operation activities enhanced by automation are still non-value-adding and current practice of redundant handling process implies continuous cost increase with the demand expanding. Therefore, it is of significance to simplify the corresponding operations as much as possible. This paper makes a comprehensive introduction to a new manufacturing paradigm named Zero-Warehousing Smart Manufacturing (ZWSM) from the concept, practices, principles, and core technologies. ZWSM basically aims to avoid traditional non-value-adding warehousing operations such as put away and order picking, as well as to reduce the warehousing space for operations to the minimum. First, prototype layout and basic practices under ZWSM are proposed. Second, synchronization, unitization and uncertainty hedging, which are the key principles to achieve the ZWSM, are explicitly introduced. Third, A Zero-Warehousing Smart Manufacturing Platform (ZWSMP) is developed with the Internet of Things (IoT) enabled infrastructures. Corresponding logistics services are presented to provide information visibility and achieve operations improvement. A case study of the Hong Kong prefabrication construction project is used to demonstrate the materials delivery process among different supply chain partners to provide a basis for zero-warehousing achievement.
We develop an integrated production–distribution model for a deteriorating item in a two-echelon supply chain. The supplier’s production batch size is restricted to an integer multiple of the ...discrete delivery lot quantity to the buyer. Exact cost functions for the supplier, the buyer and the entire supply chain are developed. These lead to the determination of individual optimal policies, as well as the optimal policy for the overall, integrated supply chain. We outline a procedure for determining the optimal supply chain decisions with the objective of minimizing the total system cost. Our approach is illustrated through a numerical example.
We propose that companies should carefully examine the just-in-time philosophy from the supply chains. The risks in uncertain times can be greater than the benefits. We provide some insight into when ...just-in-case might be a better strategy.
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