Decision Support for Supply Chain Risk Management in Automotive Industry

This study aimed to identify the types of risks that arise in the automotive industry supply chain. Due to the increase in production volume today, there are many problems in the quality of the auto parts from the substandard production, which are consequently followed by many risks. Currently, there are many accident-related deaths each year around the world and most accidents are caused by cars that are produced without analyzing the risks in the supply chain. Moreover, the domestic automotive parts companies themselves are not yet aware which factors can affect the risks at most. Therefore, this research aimed to understand the risk factors in the automotive supply chain in order to contribute to the development of guidelines on various aspects of decisions. In general, the risks consist of internal and external risks, including the impact of economics, natural disasters, terrorism, or even the risks of production. This research was conducted by questionnaire and interview data obtained from automotive parts manufacturers in Thailand, a total of 170 people and experts in the automotive parts industry. The statistical analysis was performed using SPSS and the level of risks was determined by calculating the probability of occurrence and severity of risk factors. The results showed that the types of risks that arise in the automotive supply chain in a very high level (E-Extreme risk) that must be urgently resolved are the risk factors of production technology and the risk factors of quality control. These can be defined as decision-making guidelines for managing the risks in the automotive industry supply chain for the risks of production technology. Keywords: Supply chain risk management, Decision-making, Automotive industr

New Concept of Container Allocation at the National Level: Case Study of Export Industry in Thailand

This paper presents container allocation technique of which minimizing the total opportunity loss of an export industry in Thailand. This new allocation concept applies as a strategic management tools at the national level since it is consistent to the characteristics of the container supply chain management in Thailand. The first section of this paper presents the review of facts and problems of container supply chain management. It reveals that containerization system is significant to the international trade as it holds good characteristics of sea transportation. It can transport a lot of products while minimize the damage of goods. Supply chain management of the containerization system presents and shows that there are four main players in managing the container – principal, port, container depot, and customer. After an intensive review of containerization system’s problem, the most common problem that all parties have encountered is an imbalance between demand and supply of container. The well-known solution to the stated problem is relocation of containers between various places using optimization technique, which aims to minimize operation cost. Indeed, those solutions are unable solve the containerization system’s problem in Thailand: lacking their own fleets: having no bargaining power in relocating container between areas as needed. In the present, many of Thai exporters face with losses of sales or profit because they cannot find enough or proper containers to transport their goods to the customer. The authors, therefore, have seen that those problems need to be strategically solved by the government. The limited number of containers must be properly allocated to the exporter with regard to the minimum losses to the economics of the country. The main contributions of this paper are two folds. First, the opportunity losses of the various export industry are indicated when lack of containers, Second, the mathematical model has been formulated using linear programming technique with several constraints, such as, demand, supply, obsolete time, operating cost, lead time etc. The authors hope that the new concept presented in this paper will provide the great contribution for other countries, which face the same problem of Thailand. Keywords: Container Management, Opportunity Loss, Allocation Problem, Optimization, International Trad

The Novel Paradigm Of “economic Driven Smart City” To The Sustainability

A Smart city (SmC) is a model to improve the urban and quality of life in city with the understanding that a SmC is filled with state-of-the-art technology, whether IOTs or ICT (Technology Driven). Whereas the opposite said, a SmC should be aiming to support people (Human Driven). But in an effort of the 2 concepts, got an important neglected, "what are the people real needs?" Many cities are still facing with the problem as unemployment, poverty and social disparity, that mainly caused by Economic problem. A current SmC model unable to solve this problem. This research purpose the Economic Driven and Economic Factor of a SmC model, to solve and improve this issue, The Economic Factor Analysis by GDP/GPP is developed to analyze the Localization of Economic and modeling the new SmC with the fully integrated dimension, and the direction of government policy, to ensure the SmC to a successful and sustainable

A generic part orientation system based on volumetric error in rapid prototyping

The paper presents the development of a generic part orientation system for rapid prototyping by considering the issue of volumetric error encountered in parts during the layer by layer building process in a rapid prototyping (RP) system. An algorithm is developed that slices the part with horizontal planes and computes the volumetric error in the part at different orientations by rotation about user-specified axes. The system recommends the best orientation based on the least amount of volumetric error in the part. The system has been tested using several examples of simple and complex parts. The generic part orientation system is believed to be first of its kind based on a volumetric error approach and will be useful for RP users in creating RP parts with a higher level of accuracy and surface finish, and also for intelligent process planning in rapid prototyping

A New Dimension of Health Sustainability Model after Pandemic Crisis Using Structural Equation Model

Since the coronavirus (COVID-19) pandemic, it has been clear that the health dimension (HEDm) has a severe impact on sustainability, which was originally considered from the pillars of society, environment and economy. Hence, the integration of the health dimension into the other three pillars is plausible to define guidelines and criteria for progress monitoring and policy assessment towards a health-sustainable city. The objective of this study aims to present The Health Sustainability Model (HSM), a four-dimensional model for health sustainability (health, economy, environment, and society), using the Del-phi method to determine potential indicators agreed by eighteen experts, including physicians who deeply understand issues on health sustainability, and assess complex dimensions of health in the context of sustainability. The researchers have found that 45 indicators, later grouped into 15 elements and 4 dimensions, have a high level of agreement with Kendall’s W (KW) at 0.36. The HSM was then examined by the structural equation model (SEM) with reliability and validity shown as follows: the absolute fit with CMIN/DF = 1.44, RMSEA = 0.033, GFI = 0.96, AGFI = 0.94, RMR = 0.025, and the incremental fit with NFI = 0.94, CFI = 0.98, TLI = 0.97, and IFI = 0.98. Based on the results, the model is valid, in line with the empirical data. For further application, the HSM is expected to support city planners and decision makers by identifying room for improvement in each dimension through the indicators employed in the model. In contrast to existing studies that mainly use qualitative data, by conducting quantitative assessment, the model enables policy makers to objectively evaluate conditions and appropriately design policies to improve residents’ well-being

A New Model for a Sustainable Healthcare Supply Chain Prioritizes Patient Safety: Using the Fuzzy Delphi Method to Identify Healthcare Workers’ Perspectives

The pandemic crisis and the resulting global uncertainties have obviously had a severe impact on the healthcare supply chain (HSC), leading scholars, healthcare executives, and policymakers to focus on the sustainability of the HSC. Technologies have emerged and developed rapidly in recent years, especially in the healthcare industry, for coping with the pandemic crisis and supporting the “new normal” for humankind. Within this context, various new technologies have been implemented to maximize the supply chain process, ensure patient and healthcare worker safety, and improve the quality of care. Hence, the integration of a technological dimension with the traditional three pillars of sustainability may aid in attempts to define the potential attributes of these dimensions of sustainability. Therefore, this study aimed to identify the key attributes of a sustainable healthcare supply chain (SHSC), and this paper presents a new, four-dimensional model for SHSCs, consisting of social, environmental, economic, and technological dimensions. A systematic literature review was conducted, resulting in the identification of 35 potential SHSC attributes. The Fuzzy Delphi Method (FDM) was then applied to determine the appropriateness of these potential attributes according to the consensus of 13 experts, including healthcare workers in a variety of medical specialties, who profoundly understand HSC sustainability. The results yielded 22 appropriate attributes, which were then categorized across the four dimensions. Consequently, a new model of an SHSC, which prioritizes patient safety, was constructed and is proposed here. This SHSC model can be applied strategically to the healthcare industry to enhance the safety of both medical personnel and patients in a sustainable manner

The Novel Paradigm of Economics Driven for Local Smart Sustain Cities Modeling Using Exploratory Factor Analysis and Planning Technique Using Fuzzy Evaluation Decision Making

The Smart Cities (SCs) models currently widely employed are identical and inconsiderate of Economics Driven (ED), Local Context (LC), and Sustainability (St) factors. These are key factors to driving, constructing, and developing smart cities. This paper presents a process wherein “the Local Smart Sustain Cities Model (LSSCsM)” is combined and modeled with Exploratory Factor Analysis technique (EFA) to design a smart city that fits the local features of a given area. This particular process creates a Smart Cities Model (SCsM) that has unique sustainability and local context factors. This paper also presents the smart cities Priority Action Ranking (PAR) process using Fuzzy Logic Decision Making (FLDM) to evaluate the strengths and weaknesses of each smart city economics driver and characteristic and prioritize the direction planning of each factor and characteristic. The resulting smart cities model can then be used as the foundation of sustainable smart cities that avoid the pitfall of using incompatible smart cities models as the base and consequently failing, thus avoiding the extravagant costs associated with an unsuccessful project of such scale

A volumetric approach to part-build orientations in rapid prototyping

This paper presents the development of a part-build orientation system for rapid prototyping by considering the volumetric error (VE) encountered in parts during the building process. The methodology involves a primitive volume approach, which assumes a complex part to be constructed from a combination of basic primitive volumes. First, the VE in a number of primitive volumes such as cylinders, cubes, hemispheres, cones and pyramids is considered. Then, the VE in a parts made from a combination of these primitives is determined. The system graphically displays the VE at different orientation of any part and recommends the best orientation for the minimum VE in the whole part. This paper will illustrate the methodology by considering the case of the orientation problem of a cone and the parts made from different primitives

Part build orientations based on volumetric error in fused deposition modelling

Abstract not available