International Journal of Industrial Engineering: Theory, Applications and Practice
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A RISK ASSESSMENT MODEL FOR HEALTH SUPPLY CHAIN BASED ON HYBRID FUZZY MCDM METHOD
No full textThis study aims to identify and evaluate the risks of the manufacturing sector in the health supply chain of the food industries. For this purpose, first, the risks related to food industry units have been identified using the fuzzy Delphi approach and then, applying the fuzzy best-worst model (F BWM) and the fuzzy decision-making trial and evaluation laboratory (F DEMATEL) model, the weights and internal relationships of criteria have been determined, respectively. For the final prioritization of the risks, a hybrid method based on F BWM and F DEMATEL has been used. To demonstrate the applicability of the proposed approach, a real case of food industry units is presented. The data are both quantitative and qualitative, and both library and field methods have been used to collect them. The results showed that among the identified factors, the biological factor had the highest priority, and the health factor had the lowest one
DUAL-OBJECTIVE ORDER SEQUENCING IN A PUT-WALL-BASED PICKING STATION
No full textThe growing e-commerce market has forced distribution companies to provide faster and more accurate delivery services. The order-picking process is the most time-consuming and labor-intensive of the logistics processes carried out in a distribution center. This study considers an order sequencing problem in a put-wall-based picking station. We introduce the problem of distributors aiming to optimize the order-picking sequence to minimize the total dwell time of SKUs as well as the maximum number of SKUs dwelling at the picking station. To tackle this problem, we propose a three-solution approach involving mixed integer nonlinear programming (MINLP), mixed integer linear programming (MILP), and NSGA-II, a non-dominated sorting genetic algorithm. Additionally, we conduct a comparative analysis and verify the performance capabilities of each approach through numerical experiments
A Systematic Analysis of Supply Chain Risk Management Literature: 2012-2021
No full textIn order to secure supply chains (SCs), researchers and policy makers need to be abreast of developments in supply chain risk management (SCRM). This study selected frequently cited papers of WoS from the last 10 years, performing quantitative visualization analysis to establish the current trends within the field. Further attention was paid to those studies that focused on the impact of COVID-19. This study used a keyword timeline and clustering analysis map to establish the main research directions between 2012 to 2018, as well as the perspectives from which SC optimization was studied from 2018 to 2021. The key journals and research institutions for SCRM are established, as well as the key categories that the published literature falls under. Cluster analysis shows which areas in the published literature have the most references. Finally, the study establishes the direction of current trends within SCRM, as well as its understudied areas
MULTIPLE-OBJECTIVE SCHEDULING FOR BATCH PROCESS SYSTEMS USING STOCHASTIC UTILITY EVALUATION
No full textMost research studies in the batch process control problem are focused on optimizing system performance. The methods address the problem by minimizing a single criterion, such as cycle time and tardiness, or bi-criteria such as cycle time and tardiness, and earliness and tardiness. We demonstrate the utilization of the Stochastic Utility Evaluation (SUE) function approach to the performance of batch process systems using multiple criteria. Tri-criteria problem is used as an example to illustrate the use of the SUE function. That is, we explore how SUE function with stochastic information can be implemented to improve existing approaches to the batch process control problem. The simulation results demonstrate that strategies based on the SUE function perform better than existing strategies based on static utility values
Optimal Resource Allocation Model for Multi-Function Radar on Navy Warships
No full textEfficiently detecting targets using radar on a warship is critical for defending the warship itself at the initial stage of engagement. To cope with various uncertain threats (or targets), radar resources must be used efficiently because of their limited availability in terms of power, dwell time, and bandwidth. In this study, we develop an optimal multi-function radar resource allocation model in which we maximize the survival probability of a warship from all detected targets under limited resources allocated to the subsystems. The proposed problems are convex optimization models with concave objective functions. We propose two exact (polynomial and pseudo-polynomial time) algorithms that optimally solve the problem via the well-known KKT conditions. In addition, we establish special conditions for problem instances in which resources are allocated equally to all subsystems. Computational experiments show that the algorithms not only guarantee optimality but are also computationally intensive. Finally, we perform regression analysis to investigate the relationship between resource allocation and targets’ threat levels, and it shows that threat level influences more on the resource allocation than the exponent of the detection probability function
Using The Flexible Analytic Hierarchy Process Method to Solve The Emergency Decision-Making of Public Health Emergency of International Concern (PHEIC)
No full textThe occurrence of a public health emergency of international concern (PHEIC) can lead to massive deaths, economic recession, and changes in the lifestyles of people in various countries. Addressing the problem of a public health emergency involves multiple experts and criteria, making it a multi-expert and multi-criteria decision-making problem. The assessment information of the criteria simultaneously includes complete, incomplete and hesitant fuzzy linguistic information in PHEIC problems. However, typical calculation methods cannot process the incomplete information and hesitant fuzzy linguistic information associated with PHEIC problems. In order to overcome these issues, this paper proposed a novel flexible AHP method to solve PHEIC problems. A numerical case study on public health emergency decision-making for COVID-19 was adopted to verify the effectiveness and correctness of the proposed flexible analytic hierarchy process (AHP) method. The numerical simulation results were also compared with the simple additive weighting (SAW) method, the traditional AHP method, the fuzzy set method, and the fuzzy AHP method. The simulation results show that the proposed method can provide a more reasonable and flexible decision analysis
Exploring The Showrooming and Webrooming Effect on Hybrid Platform and Reselling Platform: The Strategic Role of In-Store Service
No full textThis paper aims to examine how customers' bi-directional free-riding behavior (showrooming phenomenon and webrooming phenomenon) affects the operation of e-commerce platforms and how the service resources of different platforms can be coordinated to bring a better shopping experience to consumers. We develop a game model based on a multi-channel supply chain structure to explore competitive decisions, cooperative decisions, and coordinative decisions, respectively, where the hybrid platform and the reselling platform engage in both price and service competition. It shows that whichever platform actively enhances service efforts is beneficial to the development of the entire supply chain system, especially for its own more significant promotion. However, when there are increasing numbers of bi-directional free-riding customers in the market, both e-commerce platforms are becoming conservative, and are waiting for the other side to enhance its service efforts. On this basis, a coordination mechanism can achieve a win-win situation for both platforms, where the profit of the two platforms, total consumer surplus, and total social welfare are higher than the level before the implementation of coordination
THE IMPACT OF THE DIGITAL ERA ON THE IMPLEMENTATION OF THE TRADITIONAL SIX-SIGMA DMAIC- A NEW DMAISE CYCLE DEVELOPMENT
No full textThere is a clearly identified need for adjusting the current implemented standards and methods in the area of process improvement, like Six Sigma, to be aligned with technology advances in the context of Industry 4.0. Thus, this research aims to focus on the Six Sigma DMAIC methodology and introduce a new quality improvement cycle toward Industry 4.0. The proposed new Six Sigma implementation procedure is called the DMAISE (Pronunciation: də-mɛ́jz/də-mayz) improvement cycle, which consists of five main phases: Data Measurement, Analysis, Interpretation, Simulation and Enhancement. DMAISE cycle is introduced to obtain all benefits from the DMAIC while not being affected by its limitations that result from the lack of proper integration of technologies available through the advancements inspired by Industry 4.0. A questionnaire survey is developed to collect data from practitioners, experienced employees, and academics in the available organisations to evaluate and validate the proposed new cycle. The results demonstrated that the proposed cycle is considered a viable quality improvement cycle for the new challenges that arise with the Industry 4.0/digital era and the smart technologies being developed for manufacturing environments
Retail or Commissioned Live-Streaming? Mode Choice of A Platform Supply Chain Considering Consumers’ Preferences
No full text''live-streaming + e-commerce'' mode emerged as time required. In this paper, we aim to investigate the manufacturer’s pricing and mode choice of cooperation with a live streamer in a dual-channel live-streaming supply chain consisting of a single manufacturer, a KOL(Key Opinion Leader) live streamer, and a live-streaming platform, considering different consumers’ preferences. We depict two scenarios for the KOL streamer, retail live-streaming and commissioned live-streaming modes, in the presence of a manufacturer's self-live-streaming and investigate the optimal mode choice with the Stackelberg game. The paper discovers that under the commissioned live-streaming mode, the price of KOL live-streaming is positively (negatively) correlated with the commission ratio (consumers' preferences for the manufacturer’s self-live-streaming) and lower than that under manufacturer self-live-streaming under a low commission ratio (a high consumers' preferences for manufacturer’s self-live-streaming). In both scenarios, the KOL live-streaming’s sales effort is consistently lower than that of the manufacturer's self-live-streaming channel. Additionally, the consumer's sensitivity coefficient, the trust degree, the impact of KOL streamers, and the proportion of impulsive consumers are positively correlated with both channels' price, sales effort, and profit
Optimization of CO2 Laser Engraving Parameters for SiO2-Based Ceramic Materials: Simulation and Experimental Investigation
No full textThe use of SiO2 ceramic materials is increasingly prevalent in both industrial and artisanal craftsmanship. These materials exhibit excellent mechanical properties, making them challenging to process, especially after firing. The paper explores the application of CO2 lasers for engraving ceramic materials, addressing challenges in traditional processing methods and offering insights into optimizing laser parameters for enhanced engraving performance. Through simulations using COMSOL Multiphysics software and experimental validations, the thermal interaction between CO2 lasers and SiO2 ceramic substrates is thoroughly investigated. Parameters such as power, scanning speed, pulse width, and repetition frequency are examined to understand their influence on engraving depth, resolution, and surface quality. The research compares continuous wave (CW) and pulsed modes, highlighting their advantages and limitations. The most suitable set of technological parameters is selected for experimentations on unfired and fired ceramic samples. The results demonstrate the effectiveness of CO2 lasers in engraving ceramics and their potential for various industrial applications. This research provides comprehensive insights into applying CO2 laser technology to ceramic materials