scholarly journals Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

Computers ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 156
Author(s):  
Julio C. Serrano-Ruiz ◽  
Josefa Mula ◽  
Raúl Poler
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Control Process ◽  
Optimization Methods ◽  
Production Schedule ◽  
Service Levels ◽  
Simulation And Optimization ◽  
Starting Point ◽  
Master Production Schedule ◽  
The One

Risks arising from the effect of disruptions and unsustainable practices constantly push the supply chain to uncompetitive positions. A smart production planning and control process must successfully address both risks by reducing them, thereby strengthening supply chain (SC) resilience and its ability to survive in the long term. On the one hand, the antidisruptive potential and the inherent sustainability implications of the zero-defect manufacturing (ZDM) management model should be highlighted. On the other hand, the digitization and virtualization of processes by Industry 4.0 (I4.0) digital technologies, namely digital twin (DT) technology, enable new simulation and optimization methods, especially in combination with machine learning (ML) procedures. This paper reviews the state of the art and proposes a ZDM strategy-based conceptual framework that models, optimizes and simulates the master production schedule (MPS) problem to maximize service levels in SCs. This conceptual framework will serve as a starting point for developing new MPS optimization models and algorithms in supply chain 4.0 (SC4.0) environments.

scholarly journals Multi-stakeholder initiatives in sustainable supply chains: Putting sustainability performance in context

Elem Sci Anth ◽  
2017 ◽  
Vol 5 ◽  
Author(s):  
Cory Searcy
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Framework ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Sustainable Supply Chains ◽  
Economic Thresholds ◽  
Starting Point ◽  
Enforcement Mechanisms ◽  
Multi Stakeholder

The purpose of this article is to explore the role of multi-stakeholder initiatives (MSIs) in sustainable supply chains. I argue that MSIs are needed to help establish and institutionalize the natural and social thresholds in which a sustainable supply chain must operate. While a multitude of MSIs relevant to supply chains already exist, they do not yet adequately address sustainability thresholds. Building on theory and literature, I elaborate on four interrelated roles for MSIs in this area: (1) providing learning platforms, (2) developing standards, (3) developing enforcement mechanisms, and (4) issuing labels and certifications. All four roles emphasize the need for supply chains to operate within the thresholds set by nature and society. Staying within thresholds is what distinguishes between sustainable and unsustainable supply chains. The four roles form part of a broader conceptual framework outlining a way forward for MSIs in sustainable supply chains. Different MSIs could address one or more of these roles. I argue that all MSIs must be developed with special attention to their input and output legitimacy. Stakeholders from both within and beyond the supply chain must be involved in developing and implementing a MSI for it to be viewed as legitimate. I note that the conceptual framework presented here is a starting point. It would benefit from further testing and refinement. For example, future work could add further specificity to the four roles I discuss. Future research could also focus on integrating economic thresholds for sustainable supply chains into the framework.

scholarly journals Decision-Making of Electronic Commerce Supply Chain considering EW Service

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yuyan Wang ◽  
Zhaoqing Yu ◽  
Liang Shen ◽  
Runjie Fan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Electronic Commerce ◽  
Service Providers ◽  
Rapid Development ◽  
Service Level ◽  
Network Economy ◽  
Service Levels ◽  
Decision Making Models ◽  
The One

With the rapid development of the network economy, it is a marketing strategy to provide an extended warranty (EW) service. Considering the differences in the EW service providers and dominant enterprises, this paper proposes four kinds of decision-making models and aims to study decisions of the electronic commerce supply chain, including EW price, sales price, and service level of e-platform. Through comparative analysis and numerical analysis, this research shows that, among four decision-making models, the highest system profit can be achieved when the seller provides the EW service and the e-platform dominates the system. For electronic commerce supply chain enterprises, whether to dominate the system or to provide EW service, it is conducive to the increase of profits. When the e-platform provides the EW service, the conclusion is that who dominates the system is the one who gets more profit. However, when the seller provides the EW service, the conclusion is that who dominates the system is the one who gets less profit. When the EW service is offered by the dominating enterprise, service levels of the e-platform are lower.

scholarly journals Solving multi-objective master production schedule problem using memetic algorithm

2020 ◽  
Vol 18 (2) ◽  
pp. 938
Author(s):  
Shireen S. Sadiq ◽  
Adnan Mohsin Abdulazeez ◽  
Habibollah Haron
Keyword(s):  
Simulated Annealing ◽  
Memetic Algorithm ◽  
Lot Sizing ◽  
Production Schedule ◽  
Service Levels ◽  
Non Linear Programming ◽  
Multi Objective ◽  
Conflicting Objectives ◽  
Dynamic Lot Sizing ◽  
Master Production Schedule

<span>A master production schedule (MPS) need find a good, perhaps optimal, plan for maximize service levels while minimizing inventory and resource usage. However, these are conflicting objectives and a tradeoff to reach acceptable values must be made. Therefore, several techniques have been proposed to perform optimization on production planning problems based on, for instance, linear and non-linear programming, dynamic-lot sizing and meta-heuristics. In particular, several meta- heuristics have been successfully used to solve MPS problems such as genetic algorithms (GA) and simulated annealing (SA). This paper proposes a memetic algorithm to solve multi-objective master production schedule (MOMPS). The proposed memetic algorithm combines the evolutionary operations of MA (such as mutation and Crossover) with local search operators (swap operator and inverse movement operator) to improve the solutions of MA and increase the diversity of the population). This algorithm has proved its efficiency in solving MOMPS problems compared with the genetic algorithm and simulated annealing. The results clearly showed the ability of the algorithm to evaluate properly how much, when and where extra capacities (overtime) are permitted so that the inventory can be lowered without influencing the level of service. </span>

scholarly journals A Comprehensive Study on the Optimal Design of Magnetorheological Dampers for Improved Damping Capacity and Dynamical Adjustability

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 64
Author(s):  
Liankang Wei ◽  
Hongzhan Lv ◽  
Kehang Yang ◽  
Weiguang Ma ◽  
Junzheng Wang ◽  
...  
Keyword(s):  
Optimal Design ◽  
Optimization Methods ◽  
Design Stage ◽  
Damping Capacity ◽  
Damping Force ◽  
Simulation And Optimization ◽  
Damping Characteristics ◽  
Hysteretic Characteristics ◽  
Gap Width ◽  
Comprehensive Study

Purpose: We aim to provide a systematic methodology for the optimal design of MRD for improved damping capacity and dynamical adjustability in performing its damping function. Methods: A modified Bingham model is employed to model and simulate the MRD considering the MR fluid’s compressibility. The parameters that describe the structure of MRD and the property of the fluid are systematically examined for their contributions to the damping capacity and dynamically adjustability. A response surface method is employed to optimize the damping force and dynamically adjustable coefficient for a more practical setting related to the parameters. Results: The simulation system effectively shows the hysteretic characteristics of MRDs and shows our common sense understanding that the damping gap width and yoke diameter have significant effects on the damping characteristics of MRD. By taking a typical MRD device setup, optimal design shows an increase of the damping force by 33% and an increase of the dynamically adjustable coefficient by 17%. It is also shown that the methodology is applicable to other types of MDR devices. Conclusion: The compressibility of MR fluid is one of the main reasons for the hysteretic characteristics of MRD. The proposed simulation and optimization methods can effectively improve the MRD’s damping performance in the design stage.

scholarly journals Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

2021 ◽  
Vol 16 (5) ◽  
pp. 1791-1804
Author(s):  
Mengli Li ◽  
Xumei Zhang
Keyword(s):  
Supply Chain ◽  
Information Acquisition ◽  
Incentive Contracts ◽  
Demand Forecast ◽  
Competition Intensity ◽  
Demand Information ◽  
Optimal Information ◽  
Acquisition Strategy ◽  
The One ◽  
The Impact

Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers and an offline showroom. Based on signaling game theory, we build a mathematical model by considering the impact of experience service and competition intensity on consumers’ demand. We find that, on the one hand, information acquisition promotes supply chain members to obtain demand information directly or indirectly, which leads to forecast revenue. On the other hand, information acquisition promotes supply chain members to distort optimal decisions, which results in signal cost. The optimal information acquisition strategy depends on the joint impact of forecast revenue, signal cost and demand forecast cost. Notably, in some conditions, the offline showroom will not acquire demand information even when its cost is equal to zero. We also design two different information acquisition incentive contracts to obtain Pareto improvement for all supply chain members.

scholarly journals Security of Blockchain-Based Supply Chain Management Systems: Challenges and Opportunities

2021 ◽  
Vol 11 (12) ◽  
pp. 5585
Author(s):  
Sana Al-Farsi ◽  
Muhammad Mazhar Rathore ◽  
Spiros Bakiras
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Information Exchange ◽  
Cyber Attacks ◽  
Management Systems ◽  
Chain Management ◽  
Counter Measures ◽  
Starting Point ◽  
Challenges And Opportunities ◽  
Unique Approach

Blockchain is a revolutionary technology that is being used in many applications, including supply chain management. Although, the primary motive of using a blockchain for supply chain management is to reduce the overall production cost while providing the comprehensive security to the system. However, current blockchain-based supply-chain management (BC-SCM) systems still hold the possibility of cyber attacks. Therefore, the goal of this study is to investigate practical threats and vulnerabilities in the design of BC-SCM systems. As a starting point, we first establish key requirements for the reliability and security of supply chain management systems, i.e., transparency, privacy and traceability, and then discern a threat model that includes two distinctive but practical threats including computational (i.e., the ones that threaten the functionality of the application) and communication (i.e., the ones that threaten information exchange among interconnected services of the application). For investigation, we follow a unique approach based on the hypothesis that reliability is pre-requisite of security and identify the threats considering (i) design of smart contracts and associated supply chain management applications, (ii) underlying blockchain execution environment and (iii) trust between all interconnected supply management services. Moreover, we consider both academic and industry solutions to identify the threats. We identify several challenges that hinder to establish reliability and security of the BC-SCM systems. Importantly, we also highlight research gaps that can help to establish desired security of the BC-SCM. To the best of our knowledge, this paper is the first effort that identifies practical threats to blockchain-based supply chain management systems and provides their counter measures. Finally, this work establishes foundation for future investigation towards practical security of BC-SCM system.

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