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

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.

Mathematics ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 328 ◽  
Author(s):  
Bikash Dey ◽  
Biswajit Sarkar ◽  
Sarla Pareek

This model investigates the variable production cost for a production house; under a two-echelon supply chain management where a single vendor and multi-retailers are involved. This production system goes through a long run system and generates an out-of-control state due to different issues and produces defective items. This model considers the reduction of the defective rate and setup cost through investment. A discrete investment for setup cost reduction and a continuous investment is considered to reduce the defective rate and to increase the quality of products. Setup and processing time are dependent on lead time in this model. The model is solved analytically to find the optimal values of the production rate, safety factors, optimum quantity, lead time length, investment for setup cost reduction, and the probability of the production process going out-of-control. An efficient algorithm is constructed to find the optimal solution numerically and sensitivity analysis is given to show the impact of different parameters. A case study and different cases are also given to validate the model.


Author(s):  
Konstantinos G. Zografos ◽  
loanna M. Giannouli

Although the development of supply chain management trends has been the subject of substantial research, little attention has been devoted to examining the impact of the emerging supply chain management (SCM) trends on the spatial organization of the supply and distribution system. Specifically, the literature lacks an integrated methodological framework for examining the impact of emerging SCM trends on decision making relative to the spatial organization of logistical networks. This analysis has three purposes—( a) develop a conceptual framework for analyzing how decisions are made on the spatial organization of logistical networks, ( b) test the proposed framework via case studies, and ( c) develop a preliminary set of guidelines on the essential elements in making strategic logistical network design decisions. An interesting finding in implementing the proposed methodological framework, which was further supported by the limited empirical research, is that decision-making requirements vary substantially among the industrial and service sectors. This variance reflects differences in objectives and the extent of integration and collaboration of business entities along the respective supply chains.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Ihsan Ozdemir ◽  
Ismail Erol ◽  
Ilker Murat Ar ◽  
Iskender Peker ◽  
Ali Asgary ◽  
...  

PurposeThe objective of this study is to investigate the role of blockchain in reducing the impact of barriers to humanitarian supply chain management (HSCM) using a list of blockchain benefits.Design/methodology/approachA decision aid was used to explore the suitability of blockchain in humanitarian supply chains. To achieve that, first, a list of barriers to HSCM was identified. Then, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF–DEMATEL) method was utilized to determine the relationships and the level of interdependencies among the criteria. Finally, the intuitionistic fuzzyanalytic network process (IF–ANP) technique was employed, as it successfully handles dependencies among the criteria.FindingsThe findings of this study suggest that interorganizational barriers are the most suitable ones, the impacts of which blockchain may alleviate. This study further suggests that trust turned out to be the most significant benefit criterion for the analysis.Research limitations/implicationsThe readers should construe the findings of this study with caution since it was carried out using the data collected from the experts of a particular country. Moreover, the proposed decision aid contemplates a limited set of criteria to assess a possible role of blockchain in overcoming the barriers to HSCM.Practical implicationsThe findings of this study can assist humanitarian supply chain managers to make more judicious assessments on whether they implement the blockchain in humanitarian supply chain operations. Specifically, this research may help decision makers to identify the certain barriers, the impact of which may be reduced by using the blockchain. The findings of this research will also help various decision makers make more rational decisions and allocate their resources more effectively.Originality/valueTo the best of authors’ knowledge, no single study exists to investigate the role of blockchain in reducing the impact of barriers to HSCM using an intuitionistic fuzzy multi-criteria decision-making approach.


2021 ◽  
pp. 227853372110154
Author(s):  
Kuldeep Dhar ◽  
Utkal Khandelwal

Companies prefer to have their warehouses run in each state before goods and services tax (GST), but after GST whole supply chain phenomenon have changed. The purpose of this study is to address the impact of GST and then see how it affects the wider supply chain management sector. For this conceptual model is adapted and modified from Porter’s value chain model in current GST context. Online convenience sampling survey of 519 respondents from Indian companies which comprised eight different subsectors has been conducted. Partial least square structural equation modeling technique has been used to analyze the data. Findings reveal the empirical significant impact of inbound logistics, supply chain operations and outbound logistics on productivity with GST scenario. In addition, results also established on the moderating role of GST environment on all these direct relationship. This study enriches the knowledge of supply chain operations with the arousal of new tax system GST in India. This research helps managers to understand this new tax system in a better way so that they can adopt this system for enhancing their business performance.


Author(s):  
Gregory D. Gleghorn ◽  
Alan Harper

Supply chain management is the backbone of the movement of goods and services. Supply chain management is a term that has evolved from logistics. Traditional supply chain management involved a salesperson, who was the focal point in the supply or logistical chain. In a traditional supply chain model, a business would contact a salesperson to inquire about a product or a salesperson would pitch a product to a business; then the ordering process or supply chain management of movement of goods would funnel through the salesperson as the initial interface. Today, the supply chain has evolved; IT has changed the landscape of the supply chain with applications, such as RFID (Radio Frequency Identification), CRM (Customer Relationship Management systems), and ERP (Enterprise Resource Programs). The result is major changes in competitiveness, efficiency, costs, and strategy. This chapter examines the evolution of supply chain management and the impact of IT.


Author(s):  
Tien-Yu Lin ◽  
Ying-Chun Li

This paper develops a powerful retailer inventory model under trade credit and quantity discounts in which the retailer’s order quantity is calculated for each setup and shipped in equal lots over multiple deliveries. Furthermore, the trade credit condition is that the retailer must make partial payments in cash for a given number of sub-shipments, with the remaining balance paid in trade credit time that expires after the inventory is depleted. This integrated powerful retailer supply chain model has not yet been discussed in previous supply chain coordination systems literature. We propose an annual total cost function and properties and develop theorems to illustrate that a unique optimal solution minimizes the relevant cost per year. We also develop an efficient algorithm to determine the optimal set of the replenishment time and the number of shipments. Numerical examples are provided to demonstrate the proposed model and algorithm. A sensitivity analysis is explored to examine the effects of four important parameters (i.e., setup cost, unit holding cost, interest rate, and receiving cost) on the optimal strategy. Finally, managerial insights are drawn


Author(s):  
Kamalendu Pal

The use of Radio Frequency Identification (RFID) in Supply Chain Management (SCM) is one of the promising innovations in recent decades. This chapter first presents an introduction to the concepts and principles of RFID. It then discusses advantages and disadvantages of this technology in a supply chain setting. Application areas of RFID in the context of supply chains are reviewed to demonstrate best practices and related important implementation issues. Different industries (e.g. automotive, transport, retail) are used to emphasizing the benefits of RFID technology. The chapter also highlights operational and strategic implications of adopting RFID-based technological solutions and summarizes available evidence. Finally, a theoretical framework that links RFID key benefits and information attributes used in decision making is proposed. This chapter also provides comprehensive guidance for those considering the implementation of RFID in their supply chains.


Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 357 ◽  
Author(s):  
Soumya Kanti Hota ◽  
Biswajit Sarkar ◽  
Santanu Kumar Ghosh

The effect of unreliable players on the supply chain management with a single-setup-multi-unequal-increasing-delivery-policy (SSMUID) along with a service-dependent demand and investment is discussed in this model. The manufacturer is unreliable which causes an increase of lead time and shortage. For solving the shortage problem and reducing lead time crashing cost (LTCC), an investment is utilized with the variable backorder price discounts. The number of transportation increases due to the new transportation policy and it causes pollution. Besides the fixed transportation and carbon emission cost (FTCEC), a container dependent carbon emission cost is applied. Some investments for setup cost reduction (SCR), ordering cost reduction (OCR), and quality improvement (QI) are considered. The lead time demand follows a normal distribution. The total cost of the supply chain is optimized and the model is tested numerically. The main intent of this study is to solve the shortage problem which occurs due to unreliability of the manufacturer. The study helps to reduce the unreliability issue of the manufacturer. The objective function is solved by using the classical optimization technique. Numerical results show that the discount for partial backorder enhances the profitability of the manufacturer. The sensitiveness of the parameters are discussed through the sensitivity of analysis and some special cases. Managerial insights provide the applicability of this study among different sectors.


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