Blood supply chain operation considering lifetime and transshipment under uncertain environment
عملکرد زنجیره تامین خون با توجه به طول عمر و انتقال مجدد در یک محیط نامشخص-2021
According to the characteristics of blood inventory control problem under the condition of blood shortage, the dynamic decision-making problem of blood supply chain is investigated in this paper. Firstly, based on the recursive equation, the state transition equations of two categories of blood demand under two inventory issue strategies (FIFO and LIFO) are given. The mathematical expressions of key indexes such as blood outdating and blood shortage are obtained. A blood collection decision- making method based on EWA (Estimated Withdrawal & Aging) strategy is proposed. Then, an optimal model of blood transshipment problem is established with the goal of the shortest transshipment time and the maximum freshness of the transported blood. In addition, an allocation planning model with multiple priority requirements and fairness concerns is established to achieve the best fairness and the minimum shortage. Besides, a discrete event system simulation (DESS) framework is designed according to the characteristics of the model. Finally, the effectiveness of the decision-making method and EWA inventory strategy are verified by numerical simulation. The results show that safety stock, target stock level and fluctuation range of demand have significant impacts on the control effect of blood inventory.© 2021 Elsevier B.V. All rights reserved.
Keywords: Blood shortage | Blood collection | Blood allocation | Blood transshipment | Blood supply chain | Discrete event system simulation
A social participatory allocation network method with partial relations of alternatives and its application in sustainable food supply chain selection
یک روش شبکه تخصیص مشارکتی اجتماعی با روابط جزئی گزینه ها و کاربرد آن در انتخاب زنجیره تأمین مواد غذایی پایدار-2021
Choosing a good food supply chain is helpful for realizing the coordination of economic benefits and environmental optimization, so as to promote the sustainable development of the society. To solve such a problem, we need to ensure the accuracy of the original information and the validity of the aggregated information. However, experts may not be able to give professional evaluations in some aspects, and a simple ranking of alternatives cannot accurately reflect the relations between alternatives. To solve these problems, this paper proposes a comprehensive method integrating the social participatory allocation network (SPAN) and ORESTE methods under the q-rung orthopair fuzzy environment. To better deal with the imprecise and uncertain information, the q-rung orthopair fuzzy set is adopted in this study to represent decision-makers’ opinions. The delegate mechanism of the SPAN method is introduced to calculate the weights of experts, which make the assessments of alternatives credible. The ORESTE method is used to explore the relations between alternatives in detail. The preference function is used to deal with the case where the data is not ordinal. Finally, a case study concerning the selection of sustainable food supply chains is presented to verify the applicability of the proposed method.© 2021 Elsevier B.V. All rights reserved.
Keywords: Sustainable food supply chain management | Multiple criteria analysis | Group decision-making |q-rung orthopair fuzzy sets | Social participatory allocation network
Time-sensitive supply chain disruption recovery and resource sharing incentive strategy
استراتژی تشویقی برای بهبود اختلال در زنجیره تأمین حساس به زمان-2021
Market demand is becoming increasingly time-sensitive in competitive environments. Hence, supply disruptions will have a more serious impact on the proﬁts of supply chains. This study applies a Stackelberg competition between a single supplier and a single manufacturer in a time-sensitive supply chain in a cloud manufacturing environment. We aim to address the supplier’s production capacity recovery issues and the manufacturer’s incentive decision issues after supply disruption. We ﬁnd that the supplier is in a weak position when the information is symmetrical. The manufacturer can encourage the supplier to shorten the recovery time by raising the unit wholesale price. When the supplier’s unit production cost remains unchanged but the unit wholesale price increases, the proﬁt of the supplier ﬁrst increases and then decreases. In addition, under the centralized decision-making setting, the optimal recovery time of the supplier is shorter and the optimal unit market price of the product is lower than that under decentralized decision-making. We further ﬁnd that resource sharing can shorten the optimal recovery time, but it does not necessarily play an incentivizing role.© 2021 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Supply chain | Time-sensitive | Supply disruption | Resource sharing
The impact of supply chain network structure on relationship management strategies: An empirical investigation of sustainability practices in retailers
تأثیر ساختار شبکه زنجیره تامین بر استراتژی های مدیریت رابطه: بررسی تجربی شیوه های پایداری در خرده فروشان-2021
The implementation of sustainability practices in today’s complex supply chain network (SCN) has been a great challenge for focal ﬁrms. To establish a sustainable SCN, understanding is needed about how focal ﬁrms’ decision-making processes can be affected by the extent to which they are embedded within a wider stakeholder network. Despite the increasing amount of research in sustainable supply chain management (SSCM), the way (why and how) that focal ﬁrms and their SCN actors interact in terms of sustainability practices has not been thoroughly explored. This paper investigates the impact of SCN structure on focal ﬁrms’ relationship management strategies (RMS) and identiﬁes strategies that may be employed to implement sustainability practices throughout the SCN. A web-based survey was undertaken to collect data from a sample of 66 Australian food manufacturers and suppliers within two large retailers’ SCNs. The paper’s constructs were validated via exploratory factor analysis, and hierarchical multiple regression analysis was conducted to test the hypotheses. Five factors conceptualizing the SCN structure were identiﬁed (transparency, power, supplier dependency, buyer dependency, and distance) to determine the impact of the SCN structure on four RMS (non-compliance, transactional, dictatorial, and collaborative). Results show different relationships between each factor and RMS, thereby providing new insights into the implementation of sustainability practices in the SCN. The ﬁndings may assist managers to determine a balance in allocating resources to manage sustainability practices within their ﬁrms’ SCNs. This paper is amongst the few empirical works that examine the impact of SCN structure on RMS in SSCM.© 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Keywords: Sustainable supply chain management | Supply chain network structure | Relationship management strategies
Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach
طراحی و برنامه ریزی زنجیره تأمین روغن پایین دستی تحت عدم اطمینان با استفاده از رویکرد برنامه نویسی فازی-2021
This paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy parameters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The proposed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems.
Keywords: Strategic and tactical planning | Downstream oil supply chain | Optimization | Fuzzy programming | Uncertainty
Multi-period multi-product closed loop supply chain network design: A relaxation approach
طراحی شبکه زنجیره تامین حلقه بسته چند محصولی چند دوره ای: یک رویکرد آرام سازی-2021
Growing concern about environmental deterioration, manifested in new laws to protect the environment and business competition, has stimulated the idea of Closed Loop Supply Chains (CLSC). This paper develops strategic decision-making models for two different CLSCs with multiple products over multiple periods. One of the net- works has six levels, while the other has four levels, and they can be applied to products with different levels of complexity during inspection and remanufacturing operations. The supply chain networks are modeled as Integer Linear Programs (ILP) designed to assist decision-making in terms of location/allocation, transportation, and inventory. Taking advantage of the properties of the formulations, we propose an integer relaxation approach to obtain the optimal solution to ILP. The proposed models and methodologies are illustrated with case studies from the literature and with hypothetical datasets. This research contributes with design standard con- figurations for CLSCs that can be used for different types of products. Directly using these configurations is advantageous because the models proposed can be quickly solved using the integer relaxation approach. The associated trials confirm the utility of the models for the case studies and demonstrate encouraging results for the hypothetical datasets.
Keywords: Logistics | Production | Integer Linear Program | Closed Loop Supply Chains | Multi-period model
Developing a blockchain framework for the automotive supply chain: A systematic review
ایجاد چارچوب بلاکچین برای زنجیره تأمین خودرو: یک مرور سیستماتیک-2021
As world is affected by demand volatility; process uncertainty; supply chain complexity and information ambiguity forming a VUCA world. To manage this scenario, industries are adopting emerging technologies for business excellence and one among them is Blockchain. Blockchain technology (BCT) is a distributed ledger technology (DLT) that stores transactional records in a tamper-proof and immutable way; it is a promising solution for incorporating transparency and traceability in traditional ecosystem. As automotive industries are facing a Volatile environment, Uncertain schedules & information; Complex supply chain networks, and Ambiguous decisions that cripples the automotive supply chain (ASC). Therefore, BCT can be used to address issues related to ASC in VUCA world. Keeping this in mind, study reported a systematic literature review (SLR) of BCT applications in ASC. More than seventy research papers were reviewed based on different BCT characteristics and applications. Through content analysis, study explored how to link supply chain visibility, information transparency with BCT for an efficient ASC in VUCA world. Moreover, a BCT implementation framework is proposed for ASC, to provide a decision-making approach for practitioners in VUCA world.
Keywords: Automotive supply chain | Blockchain | Systematic literature review | VUCA world
Flowshop scheduling with sequence dependent setup times and batch delivery in supply chain
برنامه ریزی Flowshop با زمان تنظیمات وابسته به توالی و تحویل دسته ای در زنجیره تامین-2021
With the emergence of advanced manufacturing and Industry 4.0 technologies, there is a growing interest in coordinating the production and distribution in supply chain management. This paper addresses the production and distribution problems with sequence dependent setup time for multiple customers in flow shop environments. In this complex decision-making problem, an efficient scheduling approach is required to optimize the trade-off between the total cost of tardiness and batch delivery. To achieve this, three new metaheuristic algorithms such as Differential Evolution with different mutation strategy variation and a Moth Flame Optimization, and Levy-Flight Moth Flame Optimization algorithm are proposed and presented. In addition, a design-of- experiment method is used to identify the best possible parameters for the proposed approaches for the problem under study. The proposed algorithms are validated on a set of problem instances. The variants of differential evolution performed better than the other compared algorithms and this demonstrates the effectiveness of the proposed approach. The algorithms are also validated using an industrial case study.
Keywords: Flow shop scheduling | Supply chain | Differential evolution | Moth flame optimization |Levy-flight moth flame optimization
Resilience cloud-based global supply chain network design under uncertainty: Resource-based approach
انعطاف پذیری مبتنی بر ابر طراحی شبکه جهانی زنجیره تامین تحت عدم اطمینان: رویکرد مبتنی بر منابع-2021
This study presents a fuzzy multi-objective mathematical programming model to design an efficient and resil- ience global supply chain network structure based on the service-oriented approach. Service composition and transportation within globally scattered resources are considered under the cloud manufacturing paradigm. The proposed comprehensive model is adapted to a global electrical medical device manufacturing system. Key performance measures include robustness, agility, leanness, and flexibility as resiliency pillars are considered in designing the network under uncertainty. To efficiently deal with the computational tractability of this non- linear and multi-objective optimization problem, a new hybrid solution algorithm is developed that in- corporates fuzzy multi-criteria decision-making methods and augmented ε-constraint method. Obtained computational results of a real case study present that the proposed service-oriented global supply chain network design can respond to its global customers’ demands in a resilient as well as efficient manner.
Keywords: Resilience supply chain | Cloud manufacturing | Resource-based approach | Uncertainty | Multi-objective
An agent-based approach for project-driven supply chain problem under information asymmetry and decentralized decision-making
یک رویکرد مبتنی بر عامل برای مشکل زنجیره تأمین پروژه محور تحت عدم تقارن اطلاعات و تصمیم گیری غیرمتمرکز-2021
In a project-driven supply chain, the project schedule and material supply influence one another. The effective decision-making process between the project manager and the suppliers can promote the flexibility and competitiveness of supply chains. However, due to their incompatible objectives, the suppliers are reluctant to disclose private information. By incorporating information asymmetry, we build a model to describe the decentralized decision-making process. The project manager does not know the lead time and the production/ transportation cost of the material suppliers accurately. To build an effective alliance in the supply chain, different contracts are considered to provide a positive or negative incentive for the suppliers, including a non- financial incentive contract with continuous orders. Then, we present a framework that integrates the agent- based approach and evolutionary algorithm. In the framework, the agents not only negotiate with each other to complete a solution but also jointly evaluate the solutions generated by the evolutionary algorithm. Finally, an experiment is conducted to compare the agent-based approach and the classical NSGA-II under information symmetry. The results show that the gap between the algorithms is acceptable, especially for a large project. The results also show that the non-financial incentive contract is beneficial to all the players in the supply chain.
Keywords: Project scheduling | Multi-agent system | Supply chain coordination | Contracting