scholarly journals Complexity Analysis and Control in Time-Delay Vaccine Supply Chain considering Cold Chain Transportation

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Daoming Dai ◽  
Xuanyu Wu ◽  
Fengshan Si
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Time Delay ◽  
Internal Control ◽  
Sufficient Conditions ◽  
System Stability ◽  
Cold Chain ◽  
External Control ◽  
Decision Variable ◽  
Decision Delay

Due to the important role of the vaccines in the prevention of global epidemics, this paper focuses on a vaccine transportation supply chain composed of one distributor and one retailer. Based on the assumption that the decision-maker does not make a decision instantaneously, we present a decision-making time-delay model. Firstly, we captured some sufficient conditions of delay-induced bifurcation for the model by regarding different combinations of the decision delay periods as the bifurcation parameters and analyzed how the speed of decision-making adjustment of distributor or retailer affects the critical point of system stability. Secondly, we made a numerical simulation on the model by using a two-dimensional bifurcation diagram, largest Lyapunov exponent, and entropy and chaotic attractor, respectively. Finally, we used two coordination methods to control chaos and compared them. The results show that when the decision delay exceeds a certain threshold, the system will lose stability or go into chaos. The precipitous speed of decision variable adjustment of the distributor or retailer will increase the entropy of the system and lead the system into a chaotic state. When the vaccine supply chain is in chaos, the effect of external control on chaos is better than that of internal control on chaos.

scholarly journals The Complexity Analysis and Control of Time-Delay OEM Supply Chain considering R&D Efforts and Marketing Level

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Daoming Dai ◽  
Xuanyu Wu ◽  
Fengshan Si
Keyword(s):  
Supply Chain ◽  
Time Delay ◽  
Complexity Analysis ◽  
Three Dimensional ◽  
Sufficient Conditions ◽  
System Stability ◽  
Decision Variable ◽  
Negative Effects ◽  
Effort Level ◽  
Adjustment Speed

In this paper, we investigate a supply chain consisting of an OEM (i.e., original equipment manufacturer) and a CM (contract manufacturer), in which the OEM decides design effort level and marketing level, and the CM makes decision on product manufacturing effort level. We establish a three-dimensional discrete dynamic model with time delay. Firstly, the sufficient conditions for Neimark–Sacker bifurcation are obtained by using different combinations of decision delay periods as bifurcation parameters, and the effect of the adjustment speeds of decision variables on the system stability and impact of time delay on the system stability are discussed, respectively. Secondly, we perform numerical simulation of this model from the perspective of entropy theory. Finally, we propose two methods to control chaos. Results show that when the time delay or the adjustment speed of decision variable exceed a certain threshold, the system will be led into a chaotic state and the entropy of the system will increase. For alleviating the negative effects of chaotic systems, we introduce control parameters to make efficient control on the chaos. At the critical point, the critical value of the adjustment speed of design effort level (or marketing level) of OEM increases as the adjustment speed of the manufacturing effort level of CM decreases, and vice versa.

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

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Daoming Dai ◽  
Xuanyu Wu ◽  
Fengshan Si
Keyword(s):  
Supply Chain ◽  
Time Delay ◽  
Activity Level ◽  
Cold Chain ◽  
Phase Iii ◽  
External Control ◽  
Chain Model ◽  
Adjustment Speed ◽  
The Stability ◽  
The Impact

AbstractThe 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.

The importance of information service offerings of collaborative CRMs on decision-making in B2B marketing

2019 ◽  
Vol 35 (3) ◽  
pp. 470-482 ◽  
Author(s):  
José Ramón Saura ◽  
Pedro Palos-Sanchez ◽  
Alicia Blanco-González
Keyword(s):  
Decision Making ◽  
Internal Control ◽  
Information Service ◽  
Equation Modeling ◽  
External Control ◽  
Data Set ◽  
Content Type ◽  
B2b Marketing ◽  
Control Factors ◽  
The Relationship

Purpose The importance of information service offerings is directly linked to decision-making processes for buying and selling in business-to-business (B2B) companies. B2B companies intend to offer information that helps other companies choose a product or service. This paper aims to identify the relationship between the types of information offered by a B2B company in its B2B marketing strategy and the decision-making of the companies which buy products and services. Design/methodology/approach For this purpose, a data set has been consulted that contains 439 observations that are the result of transactions using customer relationship managements (CRMs) of B2B-type companies. A total of 9 different products were consulted from 20 B2B vendors that manage their transactions with CRM software for B2B operations. A total of 439 different transactions were recorded by these vendors during 2018 (n = 439) with their information service offerings strategies. The results were analyzed with the partial least squares structural equation modeling. Findings The results showed that the significance of the relationship between internal control factors and external control factors (H4) is the strongest one when using information services offerings strategies in a B2B environment. The results of this research can help B2B companies to improve their decision-making strategies and to define the structure of the information offered in their B2B marketing plans. Originality/value This research makes a contribution to an existing gap, which is to identify what the most important information is for purchasing companies in B2B environments and the relationship with this information, so that B2B purchasers can make good decisions thanks to the information service offerings strategy of the selling companies using CRMs.

Decision modelling of critical success factors for cold chains using the DEMATEL approach: a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surya Prakash ◽  
Naga Vamsi Krishna Jasti ◽  
F.T.S. Chan ◽  
Nilaish ◽  
Vijay Prakash Sharma ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Value Chain ◽  
Critical Success Factors ◽  
Success Factors ◽  
Panel Study ◽  
Ice Cream ◽  
Cold Chain ◽  
Content Type ◽  
Critical Success

Purpose The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization. Design/methodology/approach A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain. Findings The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry. Practical implications The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat. Originality/value The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

scholarly journals Implementation of Time Temperature Indicators to Improve Temperature Monitoring and Support Dynamic Shelf Life in Meat Supply Chains

2019 ◽  
Vol 4 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Antonia Albrecht ◽  
Rolf Ibald ◽  
Verena Raab ◽  
Werner Reichstein ◽  
Dietrich Haarer ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Shelf Life ◽  
Software Tool ◽  
Temperature Fluctuations ◽  
Cold Chain ◽  
Decision Making Process ◽  
Chain Conditions ◽  
Life Predictions ◽  
Online Software

AbstractBased on the well-investigated OnVu™ TTI kinetics, models were developed to adjust the label to different food products and predict the discolouration process under dynamic temperature conditions. After the successful validation under laboratory conditions, the applicability of the time temperature indicator (TTI) as shelf life indicator was tested in a national poultry chain. The TTI accurately reflected the temperature fluctuations occurring under real chain conditions. Shelf life predictions based on the discolouration of the TTIs were in accordance with the microbial shelf life of the product. The models were integrated in an online software tool to check for the compliance of the cold chain and predict the remaining shelf life of the product. The implementation of TTI and the software result in a valuable tool to support the decision-making process in the cold chain. The application of flexible shelf life enables the reduction of food waste in the meat supply chain.

scholarly journals Research on the Mechanism of Cold Chain Logistics Subsidy

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Nai-Ru Xu ◽  
Zheng-Qun Cai
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Coordination Mechanism ◽  
Cold Chain ◽  
Government Subsidy ◽  
Supply Chain System ◽  
Chain System ◽  
Decentralized Decision Making ◽  
Optimal Pricing Strategy ◽  
Differential Pricing

Considering the coexistence of cold chain agro-products and ordinary agro-products in the market, the research object is the cold chain logistics subsidy. It is designed that a supply chain system consisting of duopoly upstream agro-products suppliers and a downstream agro-products retailer for research. The mechanism of cold chain logistics subsidy is studied by analyzing the influence of cold chain subsidy on pricing behavior and cold chain decision-making of cold chain agro-products and ordinary agro-products. Based on the decentralized decision-making model without government subsidy, a differential pricing model for cold chain agro-products and ordinary agro-products with government subsidy is established in order to reduce the cost of cold chain agro-products. The optimal pricing strategy of two agro-products suppliers and their downstream retailer can be obtained by solving this problem. The research finds that differential pricing caused by government subsidy can achieve profit Pareto improvement of suppliers, retailer, and supply chain system of cold chain agro-products, but cannot achieve the optimal profit of the whole supply chain. Therefore, in view of the loss of supply chain efficiency caused by decentralized decision-making, the Shapley value method is used to make coordination, and the contract coordination mechanism is designed. Finally, the sensitivity of parameters is analyzed by a numerical example.

Impact of the Locus of Causality and Internal Control on the Social Utility of Causal Explanations

2010 ◽  
Vol 69 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Samantha Perrin ◽  
Benoît Testé
Keyword(s):  
Internal Control ◽  
Three Dimensions ◽  
Social Utility ◽  
External Control ◽  
Job Interview ◽  
Locus Of Causality ◽  
Causal Explanations ◽  
Professional Success ◽  
The Social ◽  
Different Types

Research into the norm of internality ( Beauvois & Dubois, 1988 ) has shown that the expression of internal causal explanations is socially valued in social judgment. However, the value attributed to different types of internal explanations (e.g., efforts vs. traits) is far from homogeneous. This study used the Weiner (1979 ) tridimensional model to clarify the factors explaining the social utility attached to internal versus external explanations. Three dimensions were manipulated: locus of causality, controllability, and stability. Participants (N = 180 students) read the explanations expressed by appliants during a job interview. They then described the applicants on the French version of the revised causal dimension scale and rated their future professional success. Results indicated that internal-controllable explanations were the most valued. In addition, perceived internal and external control of explanations were significant predictors of judgments.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

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