scholarly journals Resilient supply chain network design under disruption and operational risks

2021 ◽  
Author(s):  
Honghua Shi ◽  
Yaodong Ni
Keyword(s):  
Supply Chain ◽  
Historical Data ◽  
Optimal Solution ◽  
Supply Chain Design ◽  
Programming Models ◽  
Critical Parameters ◽  
Practical Case ◽  
Strategic Decisions ◽  
The Impact ◽  
Resilient Supply Chain

Abstract Nowadays, supply chain resilience has drawn widespread attention from academics and practitioners due to the high likelihood of operational risk and the destructive consequence of disruption risk. However, the studies on resilient supply chain design considering these two types of risks are limited. Furthermore, how to quantify the uncertainty arising from the lack of historical data in the planing stage is not sufficiently studied. Aiming at these problems, this paper presents two uncertain programming models that optimize the strategic decisions before disruptions and supply chain operations after disruptions. The presented models introduce p-robustness measure to bound the cost in disruption scenarios. Besides, uncertainty theory is adopted to handle parameter uncertainty in the absence of historical data. Later, these two programming models are converted into their corresponding deterministic equivalents, which can be solved by cplex. Finally, we illustrate the validity and feasibility of the proposed models and explore the impact of critical parameters on the optimal solution by implementing a series of randomly generated instances and a practical case. The observations may provide some interesting managerial insights for decision-making in reality.

Cash-based response in relief: the impact for humanitarian logistics

2018 ◽  
Vol 8 (1) ◽  
pp. 87-106 ◽  
Author(s):  
Graham Heaslip ◽  
Gyöngyi Kovács ◽  
Ira Haavisto
Keyword(s):  
Supply Chain ◽  
Methodological Approach ◽  
Field Work ◽  
Humanitarian Logistics ◽  
Supply Chain Design ◽  
Senior Managers ◽  
Content Type ◽  
Emergency Situations ◽  
Humanitarian Operations ◽  
The Impact

Purpose The purpose of this paper is to evaluate the financial and material flows in cash-based responses (CBRs) and their implications for humanitarian operations. This research proposes to view cash as a commodity used by humanitarian actors in emergency operations and therefore aims to explore how CBRs impact on humanitarian logistics and ultimately, affect beneficiaries. Design/methodology/approach The methodological approach of grounded theory was chosen for this inquiry because it allowed the researchers to generate a general explanation for the process of CBRs in emergency situations based on the views of participants interviewed. Interviews were conducted with senior managers, supply chain managements and logistics officers from international humanitarian organisations (HOs), United Nations agencies and commercial organisations involved in humanitarian operations. Examples of topics covered during the field work included, procedures and policy; knowledge and information management; systems and technology; actors and agents. Findings The impact of CBRs on humanitarian operations can though not be understated. They alter supply chain design, the very role of beneficiaries as well as HOs, and change the strategy of aid delivery from push to pull. Perhaps, the most important factor is the elimination of many logistical activities that needed to be performed by HOs. Delivering cash diminishes the needs for lengthy procurement and assessment processes, pre-positioning, transportation and distribution. This bears the potential of significant reductions in costs for delivering humanitarian aid at the same time as it is an important move from aid to trade. Practical implications The challenge for humanitarian agencies in the coming years is to overcome their fears surrounding CBRs, and to implement cash programmes where they are judged to be the most appropriate response. This will require not only a change in donor policies, but also a fundamental change in the skill set of humanitarian logisticians, who are used to identifying needs and providing commodities and thus to maintaining control over the provision of assistance. Originality/value The contribution of this research is twofold: this is the first examination of cash-based interventions in humanitarian operations through the prism of supply chain management. Second, the research is field based and grounded in empirical observations thus adding to the literature and offering insights to practice.

scholarly journals Coordinating Supply-Chain Management under Stochastic Fuzzy Environment and Lead-Time Reduction

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 480 ◽  
Author(s):  
Asif Iqbal Malik ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Lead Time ◽  
Optimal Solution ◽  
Chain Model ◽  
Setup Cost ◽  
Chain Management ◽  
The Impact ◽  
Collaborative Supply Chain Management

In this paper, a supply-chain (SC) coordination method based on the lead-time crashing is proposed for a seller–buyer system. By considering different transportation modes, we control the lead-time (LT) variability. For the first time, we have attempted to determine the impact of the reliable and unreliable seller in a continuous-review supply-chain model under the stochastic environment. The authors discussed two reliability cases for the seller. First, we consider the seller is unreliable and in the second case, the seller is reliable. In addition, the demand during the lead time is stochastic with the known mean and variance. The proposed approach tries to find an optimal solution that performs well without a specific probability distribution. Besides, a discrete investment is made to reduce the setup cost, which will indirectly help supply-chain members to increase the total profit of the system. In the proposed model, the seller motivates the buyer by reducing lead time to take part in coordinating decision-making for the system’s profit optimization. We derive the coordination conditions for both members, the seller and the buyer, under which they are convinced to take part in the cooperative decision-making plan. Therefore, lead-time crashing is the proposed incentive mechanism for collaborative supply-chain management. We use a fixed-charge step function to calculate the lead-time crashing cost for slow and fast shipping mode. We give two numerical examples to validate the proposed models and demonstrate the service-level enhancement under the collaborative supply-chain management in case of an unreliable seller. Concluding remarks and future extensions are discussed at the end.

scholarly journals Closed-Loop Supply Chain Design and Pricing in Competitive Conditions by Considering the Variable Value of Return Products Using the Whale Optimization Algorithm

2021 ◽  
Vol 13 (12) ◽  
pp. 6663
Author(s):  
Muhammad Salman Shabbir ◽  
Ahmed Faisal Siddiqi ◽  
Lis M. Yapanto ◽  
Evgeny E. Tonkov ◽  
Andrey Leonidovich Poltarykhin ◽  
...  
Keyword(s):  
Supply Chain ◽  
Optimization Algorithm ◽  
Closed Loop ◽  
Optimal Solution ◽  
Supply Chain Design ◽  
Whale Optimization Algorithm ◽  
Special Focus ◽  
Closed Loop Supply Chain ◽  
Proposed Model ◽  
Whale Optimization

In today’s competitive environment, organizations, in addition to trying to improve their production conditions, have a special focus on their supply chain components. Cooperation between supply chain members always reduces unforeseen costs and speeds up the response to customer demand. In the new situation, according to the category of return products and their reprocessing, supply chains have found a closed-loop structure. In this research, the aim was to design a closed-loop supply chain in competitive conditions. For this purpose, the key decisions of this chain included locating retail centers, adjusting the inventory of chain members, and selling prices of final products, optimally determined. For this purpose, a nonlinear integer mathematical model is presented. One of the most important innovations of this research was considering the variable value for return products. Then, in order to solve the proposed model, a whale optimization algorithm was developed. Numerical results from the sample examples showed that the whale algorithm had a very good performance in terms of response quality and speed-of-action in finding the optimal solution to this problem.

scholarly journals The impact of location of 3D printers and robots on the supply chain

2021 ◽  
Vol 9 (2) ◽  
pp. 489-500 ◽  
Author(s):  
Shunichi Ohmori
Keyword(s):  
Supply Chain ◽  
New Technologies ◽  
Practical Case ◽  
Inventory Cost ◽  
Total Cost ◽  
Advantages And Disadvantages ◽  
3D Printers ◽  
The Impact ◽  
Installation Cost

3D printers and robots (3DPR) are new technologies that may disrupt traditional supply chains.The location of the manufacturing place can be moved toward more customer side in the supply chain, which brings both agility and the ability of customization.The impact is yet to be examined quantitatively. In this paper we study the location of 3DPR in the supply chain. We present and compare three models of supply chains: Traditional supply chain; 3DPR at warehouse; 3DPR at shop. The semodels are compared by the equipment installation cost, the production cost,and inventory cost for safety-stock. The study presents a practical case study motivated from a real-world apparel company, discusses the three models under various parameter settings, comparing the obtained total cost and discovers the advantages and disadvantages.

Sign in / Sign up

Export Citation Format

Share Document