scholarly journals Multiproduct manufacturer-retailer coordinated supply chain with adjustable rate for common parts, delayed differentiation, and multi-shipment

2022 ◽  
Vol 10 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Hong-Dar Lin ◽  
Victoria Chiu ◽  
Hua-Yao Wu ◽  
Yuan-Shyi Peter Chiu

Operating in today’s turbulent and competitive world marketplaces, manufacturers must find the best production scheme and delivery policy to meet timely client’s multiproduct requirements and minimize the total manufacturing-shipment expenses. This study proposes a two-stage delayed differentiation model for a multiproduct manufacturer-retailer coordinated supply chain featuring the adjustable-rate for making common parts and a multi-shipment policy for transporting finished goods. The aim is to help present-day manufacturers achieve their operational goals mentioned above. The mathematical techniques help us build a specific model to explicitly represent the problem and derive its overall operating expense. Then, the convexity of the total expense is verified by Hessian matrix equations. The differential calculus helps derive the cost-minimized fabrication-shipment decision. This study offers an example to demonstrate the applicability and capabilities of our proposed model numerically. The following crucial information has been made available to the managers to facilitate their operating decision makings: (1) the problem’s best fabrication-shipment policy; (2) the collective influence of various common part’s completion rates and values on the problem’s total expenses and optimal fabrication-shipment policy; (3) the impact of various adjustable-rates in stage one on utilization and stage one’s uptime; (4) the details of cost contributors to the problem; and (5) the collective impacts of critical features on the problem’s performance.

2021 ◽  
Vol 12 (4) ◽  
pp. 427-440 ◽  
Author(s):  
Yuan-Shyi Peter Chiu ◽  
Tiffany Chiu ◽  
Fan-Yun Pai ◽  
Hua Yao Wu

Transnational producers facing the present-day competitive global supply-chain environments need to pursue the most appropriate manufacturing scheme, quality screening task, and stock shipping plan to satisfy customer’s timely multi-item requirements under minimum overall product fabrication-delivery expenses. This study develops a producer-retailer incorporated multi-item two-stage economic production quantity- (EPQ-) based system with delayed differentiation, expedited-rate for common parts, multiple deliveries plan, and random scrap. It aims to assist current manufacturing firms in achieving the aforementioned operating goals. Mathematical methods help us build an analytical model to explicitly portray the studied problem’s features and derive its overall system expenses. Hessian matrix equations and optimization approaches help us prove convexity and derive the cost-minimized fabrication- delivery decision. This study gives a simulated example to illustrate the research outcome’s applicability and the proposed model’s capabilities numerically. Consequently, diverse crucial information becomes obtainable to the manufacturers to facilitate various operating decision makings as follows: (i) the cost-minimized fabrication-delivery policy; (ii) the behavior of system’s overall expenses and operating policy regarding mean scrap rate, and different relationships between common part’s values and completion-rate; (iii) the system’s detailed cost components; (iv) the system’s overall expenses, utilization, and common part’s uptime concerning different common part’s expedited rates; and (v) the collective effects of critical system features on the overall expenses, uptime, and optimal cycle length, etc.


2017 ◽  
Vol 6 (2) ◽  
pp. 136 ◽  
Author(s):  
Mohamed Ali Wahdan ◽  
Mohamed Ashraf Emam

This paper presents the impact of applying the supply chain management (SCM) on the agribusiness field to optimize productivity and decreasing cost which will have a direct impact on the net income of the organization. The main two research questions are: is there a significant impact of supply chain management on financial performance? and is there a significant relationship between supply chain management and financial performance as well as responsibility accounting? To answer the research questions, data was collected from financial statements of agribusiness case from Egypt and the survey was conducted. The findings of the study indicated that there is a significant impact of supply chain management on financial performance through enhancing the productivity, decreasing the cost and improving profitability. Moreover, applying the efficient supply chain management can improve the use of responsibility accounting through the efficient usage for the budget of the crop.


Author(s):  
Francesco Longo ◽  
Letizia Nicoletti ◽  
Antonio Padovano

AbstractFood supply chains are benefiting from blockchain technology, as it establishes a shared, secure record of information flows, thus reducing food safety risks, increasing consumers’ trust in products’ provenance and enhancing supply chain efficiency. However, despite some embryonic applications, systematic literature review reports very few investigation studies. This article proposes a potential design and update frequency of relevant data to be stored in the Ethereum blockchain for monitoring and traceability purposes and explores the cost connected to every transaction in the case of a fresh milk processing industry and supply chain, from dairy farms to the end consumers. Results show that (i) investments are limited for the supply chain actors; (ii) the benefits of a blockchain-enabled supply chain can be achieved with a minimal impact on the product’s consumer price, and (iii) the costs of operating the blockchain increases as we move down along the tiers of the supply chain.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Manyi Tan ◽  
Manli Tu ◽  
Bin Wang ◽  
Tianyue Zou ◽  
Hong Cheng

Agricultural products are basic needs of human beings, and whether they are cultivated in a green (or organic) manner has direct impact on environment and public health. This research incorporates product freshness and greenness into a two-echelon agricultural product supply chain (APSC). Game theoretic analyses are carried out to examine pricing, freshness, and greenness decisions of the supply chain members with and without cost-sharing for greenness investment. Subsequently, we conduct comparative and sensitivity analyses for these optimal decisions and profits of the APSC members under different cases. Numerical experiment is employed to investigate the impact of key parameters on equilibrium decisions and profitability. Analytical and experimental results show that the cost-sharing contract of greenness investment for agricultural products helps to strengthen the supply chain members’ effort in improving the greenness and freshness levels of the agricultural product, thereby enhancing both individual and channel profitability of the APSC under certain conditions. This research also reveals a widened profit gap between the producer and the retailer under the cost-sharing contract.


2021 ◽  
Vol 13 (9) ◽  
pp. 4608
Author(s):  
Manel Elmsalmi ◽  
Wafik Hachicha ◽  
Awad M. Aljuaid

Companies attempt to improve the performance of their supply chain (SC) by distinguishing and presenting feasible sustainable development practices (SDP). Considering SDP without focusing on sustainability risks may disturb the company’s future. Very few studies in the extant literature have dealt with the impact of (SDP) on the supply chain risk management (SCRM). In fact, the aim of this paper is to classify and prioritize SDPs according to their priority for better risk management and effective SC performance. The proposed approach comprises two phases. First, 14 SDPs are identified and selected from the literature. Second, MICMAC (Matrice d’impacts croisés multiplication appliquée à un classement) method as a structural analysis method applies to identify and assess sustainable supply chain risk management (SSCRM) practices which reduce risk in the SC. The input data for each phase are based on Delphi technique, which is a process group used to collect the opinions of experts in the field. The aim of the proposed approach is to prioritize SSCRM practices and classify them into influential, non-influential, independent and dependent practices and their mutual relationships. The six key findings SSCRM practices from direct and indirect classification include the following elements: (1) Delayed differentiation, (2) Information sharing with upstream and/or downstream partners, (3) Simplification of product dismantling/anticipation of product end of life, (4) Supplier/subcontractor’s performance assessment, (5) establishing shared supply management and (6) establishment of contracts with transporters.


2013 ◽  
Vol 869-870 ◽  
pp. 840-843
Author(s):  
Xin Janet Ge

The Australian carbon pricing scheme (carbon tax) was introduced and became effective on 01 July 2012. The introduction of the carbon tax immediately increases the cost of electricity to a number of industries such as manufacturing and construction. Households were also affected as a result of these costs been passed through the supply chain of the affected industries. The carbon tax policy was introduced to addresses greenhouse emissions and energy consumption in Australia. However, the carbon tax policy may have introduced a number of economic risk factors to the Australian housing market, in particular the impact of housing affordability.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Shan Yu ◽  
Qiang Hou

Due to excessive greenhouse gas emissions, carbon emission-reducing measures are urgently needed. Important emission-reduction measures mainly include carbon trading and low-carbon cost subsidies. Comprehensive consideration of these two policies is a research hotspot in the field of low-carbon technology investment. Based on this background, this paper considers the impact of consumer low-carbon preferences on market demand and the impact of uncertainty in carbon emission-reduction behaviour. We construct a stochastic differential game model with upstream and downstream enterprises based on cost-sharing coordination under a cost subsidy. From a dynamic perspective, this paper researches the optimal equilibrium strategy and evolution characteristics of the joint emission-reduction mechanism in a supply chain. This paper discusses the sensitivity of the parameters and uses numerical simulation to verify the impact of each parameter on the emission-reduction decision-making activities of stakeholders after introducing the cost subsidy. The results show that a cost subsidy policy can promote carbon emission-reduction investment and supply chain profit. Thus, it is important to strengthen technical cooperation and exchange among enterprises.


2020 ◽  
Vol 12 (10) ◽  
pp. 4305 ◽  
Author(s):  
Genzhu Li ◽  
Xianliang Shi ◽  
Yefei Yang ◽  
Peter K. C. Lee

In response to the global fight against environmental deterioration and resource shortage, many governments call on firms to implement green innovation strategies. However, for most small and medium-sized firms, the high cost of green innovation makes it difficult to achieve green goals, causing the need for a growing number of firms to cooperate with their supply chain partners on green innovations. Thus, this study explores, from a value co-creation perspective, how supply chain partners share the investment in, and benefits of, green innovation, assuring their long-term cooperation. Based on a three-level manufacturing supply chain, this paper proposes three different types of green co-creation strategies (i.e., the manufacturer and its supplier, the manufacturer and its competitor, the manufacturer and its retailer). We set the mechanism of co-creation to share the cost of green investment and consider the impact of co-creation on the sales of supply chain partners. Then, by constructing the value functions of three co-creation strategies and proving the concavity of these functions, the findings indicate that different co-creation strategies can indeed improve the firm’s profit in a certain range and achieve a different maximum value in a certain green investment sharing point. This study enriches the literature on green co-creation in supply chains by combing green investment sharing strategies among supply chain partners with value co-creation. In addition, this study provides manufacturers with guidelines on how to share green costs and choose a green co-creation strategy in different operational environments.


2020 ◽  
Vol 12 (9) ◽  
pp. 3591 ◽  
Author(s):  
Dan Wu ◽  
Yuxiang Yang

In this paper, we study the supply chain coordination problem between a manufacturer and a retailer regarding consumers’ low-carbon preferences. The retailer considers the market demand to determine the order quantity; the manufacturer chooses how to reduce emissions according to the retailer’s order quantity. We consider four cases, including the non-emission abatement, the emission abatement of decentralized decision-making, the centralized decision-making and the retailer providing a cost-sharing contract. By comparing the four cases, we find that the case of a retailer providing a cost-sharing contract can coordinate the supply chain, achieving a Pareto improvement for the manufacturer and retailer. In addition, we use the Rubinstein bargaining model to determine the cost-sharing ratio. Finally, numerical simulations are given to analyze the impact of the cost-sharing ratio on the equilibrium results, including the profit and the emission abatement level. Furthermore, we investigate the impact of the cost-sharing ratio and consumers’ low-carbon awareness on the profits of the members in the supply chain. We find that the equilibrium results, including the order quantity, the emission abatement level and the profits of the members in the supply chain under contract, are higher than the ones under centralized decision-making. The results show that in the higher low-carbon awareness market, retailers should formulate a reasonable cost-sharing ratio to achieve emission reduction coordination.


2012 ◽  
Vol 2012 (1) ◽  
pp. 000012-000017
Author(s):  
Chet Palesko ◽  
Alan Palesko

Demands on the electronics industry for smaller, better, and cheaper packages have made the supply chain more complex. Outsourcing, new technologies, and increasing performance requirements make designing and building the right product for the right price more difficult than ever. We will present a framework for understanding and managing the supply chain through cost modeling. Cost models that accurately reflect the cost impact from technology and design decisions enable a more precise understanding of supply chain behavior. Cost models can show the extra cost of adding a layer, the expected savings from relaxing design rules, or the cost of package on package assembly compared to 3D packaging with through silicon vias (TSVs). The models also provide context to understanding the ″should cost″ of a product and the path to achieving it. Since the guidance from cost models is based on the actual supplier cost drivers and pricing behavior, designer cost reduction efforts will result in higher savings compared to not using the cost models. Without cost models, designers risk missing their suppliers' real cost drivers and, therefore, the opportunity to decrease cost. This cost modeling framework allows the designers to realize the lowest cost product by matching the right design with the right supplier. It is a method for understanding a design decision's cost impact: a design change, a supplier change, or even the impact of new technology.


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