The Impacts of Green Innovation Input and Channel Service in a Dual-Channel Value Chain

Li, Qiuxiang; Chen, Xingli; Huang, Yimin; Huang-bao, Gui; Shengyang, Liu

doi:10.3390/ijerph16224566

Cited by 10 publications

(10 citation statements)

References 51 publications

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“…ere are abundant mathematical methods applied in the field of logistics for the exploration of supply chain and thus to enhance its performance from all aspects such as service, stability, flexibility, and sustainability, e.g., [48][49][50]. 3PL, as a dominant role in regulating the operation of the supply chain, is also entrusted with great research importance.…”

Section: Discussionmentioning

confidence: 99%

Integrated Data Mining and TOPSIS Entropy Weight Method to Evaluate Logistics Supply and Demand Efficiency of a 3PL Company

Yan

Gong

et al. 2020

Mathematical Problems in Engineering

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In the past decades, despite considerable attention having been paid to third-party logistics (3PL) owing to its specialized service, sophisticated operation, and reduced cost, research on quantitative methods for estimating the efficiency of 3PL companies is still lacking, especially for those with small or medium scale. Therefore, the purpose of this study was to establish a quantitative evaluation method to measure the efficiency of the individual nongovernmental 3PL firms and explore the valuable information for the management of 3PL business with Apriori and K-means. Taking TopChains (an emerging nongovernmental 3PL company) as an example, the monthly supply and demand (S&D) level and matching degree were evaluated via the integrating data mining algorithm (i.e., Apriori and K-means) and TOPSIS entropy weight method based on historical data. The findings demonstrate that the S&D level varied with time and space, and the customer demand in February tended to reduce substantially. Besides, the outcome of S&D matching degree in June is undesirable, indicating the unsatisfactory efficiency in resource management. The evaluation maneuver stated in this study can serve as a valuable tool to measure individual nongovernmental 3PL enterprises’ efficiency in terms of S&D, and for reference, the results can aid in rational enterprise investment plan. Besides, this attempt broadened the direction of ARM and K-means being applied in the logistics field.

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Section: Discussionmentioning

confidence: 99%

Integrated Data Mining and TOPSIS Entropy Weight Method to Evaluate Logistics Supply and Demand Efficiency of a 3PL Company

Yan

Gong

et al. 2020

Mathematical Problems in Engineering

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“…When the marginal profit of distributor or retailer is positive (or negative), this means that the increase of decision variables of distributor or retailer can increase (or reduce) the profit at the next period. Due to bounded rational distributor and retailer, the values of decision variables in period are the values of decision variables at period t plus the changes of decision variables at period t [ 20 ]: where and are the adjustment speeds of decision variables of the distributor and retailer, respectively.…”

Section: Multiperiod Decision-making Game Model With Delay-timementioning

confidence: 99%

Complexity analysis of cold chain transportation in a vaccine supply chain considering activity inspection and time-delay

Dao-ming

2021

Adv Differ Equ

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The development of COVID-19 vaccine is highly concerned by all countries in the world. So far, many kinds of COVID-19 vaccines have entered phase III clinical trial. However, it is difficult to deliver COVID-19 vaccines efficiently and safely to the areas affected by the epidemic. This paper focuses on vaccine transportation in a supply chain model composed of one distributor and one retailer (clinic or hospital), in which the distributor procures COVID-19 vaccines from the manufacturer and then resells them to the retailer. Distributor detects the activity level of the vaccines, and retailer is responsible for transportation of the vaccines. Firstly, we establish a difference equations model with time-delay. Secondly, we investigate the impact of time-delay on the stability of vaccine supply chain. In addition, we explore the influence of decision adjustment speed of the distributor (or retailer) on the stability of vaccine supply chain. Finally, we verify the theoretical results by a two-dimensional bifurcation diagram, the largest Lyapunov exponent, entropy, and domain of attraction. The results show that when the decision delay-time or the adjustment speed of decision variables exceeds a certain threshold, it brings a negative impact on the stability of vaccine supply chain system. The stability domain of the system shrinks as customers’ sensitivity to cold chain transportation decreases and by contrast expends as customers’ sensitivity to vaccine prices decreases. When the vaccine supply chain is in a state of chaos, the effect of external control over the system is superior to that of internal control over the system.

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“…Ranjan and Jha [17] investigated the pricing strategies and coordination mechanisms considering the green quality and sales effort. Li et al [18] constructed a dual-channel value chain composed of one altruistic manufacturer and one altruistic retailer, where the manufacturer makes green innovation input for green products and sells its green products to its customers through both the direct channel and the traditional channel, and the retailer provides channel service for customers and sells green products through the traditional channel. Liang and Sun [19] considered service free-riding and channel price difference in a green product dual-channel supply chain with a manufacturer and a retailer.…”

Section: Literature Reviewmentioning

confidence: 99%

The Green Product’s Pricing Strategy in a Dual Channel considering Manufacturer’s Risk Attitude

et al. 2021

Complexity

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This paper develops a two-echelon green supply chain that consists of one green manufacturer and one retailer. The green manufacturer has both online direct and offline retail channels. Considering manufacturer’s risk attitude and product’s green level, the paper constructs centralized and decentralized game models when the online channel’s demand is uncertain. Furthermore, this paper analyzes the impacts of a set of factors, including consumer environmental awareness (CEA), product green level, and risk attitude on decision-making in the supply chain. Finally, we present numerical examples. The main findings are as follows: the manufacturer and the retailer will benefit from the improvement of CEA; hence, they could invest more to obtain more profits by improving CEA; manufacturer’s risk attitude has a negative impact on the pricing and profits of the supply chain; as such, the members of the supply chain should improve the accuracy of their demand forecast, so as to minimize risks and losses resulting from uncertainty in demand.

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The Impacts of Green Innovation Input and Channel Service in a Dual-Channel Value Chain

Cited by 10 publications

References 51 publications

Integrated Data Mining and TOPSIS Entropy Weight Method to Evaluate Logistics Supply and Demand Efficiency of a 3PL Company

Integrated Data Mining and TOPSIS Entropy Weight Method to Evaluate Logistics Supply and Demand Efficiency of a 3PL Company

Complexity analysis of cold chain transportation in a vaccine supply chain considering activity inspection and time-delay

The Green Product’s Pricing Strategy in a Dual Channel considering Manufacturer’s Risk Attitude

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