Research on the Path of Manufacturing Enterprises Supply Chain Integration from the Configuration Perspective

In digital transformation and development, supply chain integration has become a key strategy to improve supply chain synergy efficiency and enhance enterprise competitiveness. Based on the survey data of 185 manufacturing enterprises in Tianjin, the fuzzy set qualitative comparative analysis (fs QCA) method is used to explore the synergistic mechanism of government policy, supply chain partnership, information sharing, risk avoidance, and intelligence degree on supply chain integration and the interaction among them. The results show that: (1) a single factor does not constitute a necessary condition for promoting supply chain integration, but the formation and development of supply chain partnership plays a universal role in promoting supply chain integration; (2) the “multiple concurrent” of five factors constitute the diversified configuration of a driving supply chain integration path, that is, the driving supply chain integration path has the characteristic of “all roads lead to the same destination”; (3) there is a “sharing” type, a “cooperative” type, and a “cooperative-sharing” type three equivalent path, whereby the formation of supply chain partnership can enhance the trust between manufacturing enterprises and suppliers and customers, increase the transaction frequency of upstream and downstream enterprises, and improve the cooperation efficiency. The utility model can effectively reduce the “long whip” problem caused by the information asymmetry, and improve the operational efficiency and stability of the whole supply chain. The purpose of this study is to inspire manufacturing enterprises in the context of digital supply chain integration to improve the collaborative efficiency of the supply chain.

An overview of the gasohol market in Vietnam, the next direction?

To ensure energy security, reduce greenhouse gas emissions and increase agricultural output, the Vietnamese government has issued several policies to promote gasohol, resulting in remarkable achievements in gasohol development in recent years. However, unexpected limitations have been seen by other countries after a period of using this fuel such as air pollution, threats to food security, deterioration of natural forest area and severely depleted freshwater resources. This paper presents an overview of the current state of Vietnam's gasohol market and a brief analysis of policy, supply - demand - price information, from which some hindrances are identified and a few more optimistic directions to develop this type of fuel in the future are proposed.

A nonlinear regression analysis method based on Stakeholder Theory Model for performance evaluation of poverty reduction of agricultural operators

A nonlinear regression analysis method for performance evaluation of poverty reduction of agricultural operators based on Stakeholder Theory Model analysis was proposed to improve the effectiveness of performance evaluation of poverty reduction of a new type agricultural operator in poverty-stricken areas. Firstly, it can find out which interest demands of different stakeholders and which interest realization paths have significant impact on the task performance and peripheral performance of the policy supply of new agricultural operators through factor analysis and regression analysis of the questionnaire data of stakeholders to provide sufficient basis for the appropriate revision and adjustment of policy supply; secondly, the nonlinear regression model is established by using the nonlinear least squares method to fit, control, and forecast the performance evaluation of poverty reduction behavior of agricultural operators, which is more accurate than linear regression in both object and method. Finally, the effectiveness of the proposed algorithm is verified by empirical analysis.

Analysis of Some Stochastic Inventory System in Supply Chain

In this chapter we consider a three echelon inventory control system which is modeled as a warehouse, single distribute and one retailer system handling a single product. A finished product is supplied from warehouse to distribution center which adopts one-for-one replenishment policy. The replenishment of items in terms of packets from warehouse to distribution center with exponential lead time having parameter µ1. Then the product is supplied from distribution center to retailer who adopts (s, S) policy. Supply to the retailer in packets of Q (= S - s) items is administrated with exponential lead time having parameter µ0. The demand at retailer node follows a Poisson with mean lambda. The steady state probability distribution of system states and the measures of system performance in the steady state are obtained explicitly. The Cost function is computed by using numerical searching algorithms, the optimal reorder points are obtained for various input parameters. Sensitivity analysis are discussed for various cost parameter such as holding cost, setup cost etc.

Supply chain relationships as a context for learning leading to innovation

Purpose – The purpose of this paper is to integrate the literature on learning in the context of boundary spanning innovation in supply chains. A two-dimensional framework is proposed: the learning stage (exploration, assimilation, exploitation) and the learning facet (structural, cultural, psychological and policy). Supply chain management (SCM) practices are examined in light of this framework and propositions for further empirical research are developed. Design/methodology/approach – In total, 60 empirical papers from the major journals on supply chain relationships published over an 11-year time span (2000-2010) were systematically analyzed. Findings – The paper reveals a comprehensive set of best practices and identifies four gaps for future research. First, assimilation and exploitation are largely ignored as mediating learning stages between exploration and performance. Second, knowledge brokers and reputation management are key mechanisms that foster assimilation. Third, the iteration from exploitation back to exploration is critical though underdeveloped in efficiency seeking supply chains. Fourth, the literature stresses structural mechanisms of learning, at the expense of a more holistic view of structural, cultural, psychological and policy mechanisms. Research limitations/implications – The search could be extended to other journals that report on joint learning and innovation. Practical implications – The framework provides guidelines for practitioners to develop learning capabilities and leverage the knowledge from supply chain partners in order to continuously or radically improve boundary spanning processes and products. Originality/value – The study is multi-disciplinary; it applies a model developed by learning scholars to the field of SCM.

Multi-Item Distribution Policies with Supply Hub and Lateral Transshipment

Supply Hub is defined as the horizontal coordination among the suppliers while lateral transshipment is a horizontal coordination policy among the retailers. By considering the Supply Hub and lateral transshipment simultaneously, ones can reduce the total cost of the supply chain system and improve the response to customer requirement and the customers’ satisfaction. We investigate the distribution policies for the supply chain which consists of multisuppliers, single Supply Hub, and multidistributors. In the system, both Supply Hub and distributors adopt the (t,S) policy, Supply Hub will not be out of stock, and backlogging is forbidden. Customer requirements at distributors are assumed to be independent random variables complying with uniform distribution; transshipment is assumed to be bidirectional, instantaneous, and emergent. We establish the distribution models, respectively, for the cases of transshipment or no transshipment. For the case with transshipment, we design a GA-based solution method involving a two-stage selection technology, that is, firstly, selecting individuals from parent population to generate offspring chromosomes and, secondly, selecting individuals from the interim population comprising all of the parent and offspring genomes, to form the next-generation population. We show that lateral transshipment can increase the overall profit of the supply chain by the comparison examinations between the models with and without transshipment.