Partner Selection Method Research Articles

Discussion and Application Analysis of Supply Chain Partner Selection Method Based on AHP

Discussion and Application Analysis of Supply Chain Partner Selection Method Based on AHP

فاعلية برنامج إرشادي يستند إلى نظريات الاختيار الزواجي في اختيار الشريك المناسب لدى عينة من المقبلين على الزواج

The study investigates the effectiveness of a counseling program in approaching partner selection to minimize future divorce rates for prospective spouses. The study was applied to a group of students from al-Quds Open University in the Jericho Governorate in the academic year 2021-2022. A purposive sample comprising 24 unmarried students was chosen, of which 14 were females. The researcher used the quasi-experimental approach with pre- and post-measurements. The sample was divided into a control and an experimental group, consisting of 12 students each. The researcher developed a questionnaire including the appropriate partner selection methods and a counseling program. The validity and reliability of the study tools were verified using appropriate means. The study results revealed statistically significant differences in the degree of appropriate methods for partner selection for the experimental group due to the counseling program in favor of the post-measurement. The study recommends employing the developed counseling program for prospective spouses and generalizing it to benefit from its results.

Partner selection method in cooperative spatial modulation (CSM) system

In this work, to achieve higher capacity, spatial modulation (SM) is utilized in a cooperative scheme in two different models of Cooperative SM, where SM is applied either at the source or the selected partner through an antenna array. A theoretical model of SM capacity is defined based on closed form lower and upper bound of the SM capacity. Based on the theoretical analysis of the channel capacity in both CSM systems the simplest and easier to implement selection criteria have been suggested to select a single partner to maximize CSM capacity. The CSM system in which SM is applied through the partner’s antenna array is providing significant enhancement over the other CSM model and cooperative multiple-input-multiple-output (CO-MIMO) networks based on multiple partners. Moreover, the system with a single randomly selected partner equipped with four antennas, behaves similarly as the best configuration of CO-MIMO based on the cooperation of four partners with the computational complexity linearly increases with the number of available partners to help. All of the theoretical findings are verified through simulation studies.

Decentralized trading mechanism of shared energy storage in a residential community considering preference of trading subjects

With the decrease in energy storage costs and the popularization of the shared economy principle, shared energy storage (SES) has been gradually deployed in the residential community to reduce energy costs. However, centralized trading platforms for SES trading are rare in the residential community, so it is difficult for users with the trading demands to search for appropriate trading partners and make a deal. To address the above problem, a decentralized trading mechanism of SES considering the preference of trading subjects is proposed to enable the users in the residential community to trade in the absence of centralized trading platforms. The cost-based price models are built to determine the acceptable price ranges for SES users, DG users and power consumers, which will be used as the basis for the quotation in the process of decentralized trading. Moreover, based on a multinomial logit model and an improved Rubinstein model, the trading partner selection method and the negotiation strategy are proposed to be adopted in the decentralized trading mechanism. Through the autonomous selection of trading partners and multiple rounds of negotiation and quotation, the trading probability of the users can be improved. Numerical simulation studies show that the proposed decentralized trading mechanism can achieve a higher sale rate of SES trading. All types of users can obtain revenue or reduce energy costs through SES trading.

Are you of value to me? A partner selection reference method for software ecosystem orchestrators

• Software ecosystem partner selection. • Software ecosystem partner selection method development. • Software ecosystem partner selection criteria. • Software ecosystem orchestration. • Software ecosystem health. Software ecosystem orchestrators have insufficient insight and lack academic guidance in the partner selection criteria and methods available to aid them in their partner selection process. Therefore, orchestrators fail to vet, select, and engage suitable partners for their software ecosystem. Through six case studies with software orchestrators, we extract six industry methods for partner selection. Using situational method engineering, we create PALERMO: the PArtner seLEction Reference MethOd, which is subsequently evaluated by three different experts in the context of three more case studies. The method is composed and described using method engineering, and a list of partner selection criteria. Together, the method and list of criteria aid orchestrators in organizing and optimizing the partner selection process. The evaluation of the method in three extensive case studies, shows that the method is complete, effective, useful, and easy to use.

Partner Selection Method in Cooperative Spatial Modulation (Csm) System

Partner Selection Method in Cooperative Spatial Modulation (Csm) System

Modelling and group decision-making method for virtual enterprise partner selection with fuzzy completion time and due date

Modelling and group decision-making method for virtual enterprise partner selection with fuzzy completion time and due date

Modelling and group decision-making method for virtual enterprise partner selection with fuzzy completion time and due date

Modelling and group decision-making method for virtual enterprise partner selection with fuzzy completion time and due date

A method for partner selection of product development teams using the synergy requirements of product architecture

A method for partner selection of product development teams using the synergy requirements of product architecture

A method for partner selection of product development teams using the synergy requirements of product architecture

A method for partner selection of product development teams using the synergy requirements of product architecture

Research on strategic partner selection under industrial agglomeration

<p>The selection of excellent partners for enterprises is crucial to the establishment and operation of industrial agglomeration enterprise alliances. It is not only related to the creation of new market values, the reduction of cost of cooperative enterprises, but also directly affects the efficiency of enterprise alliances. This study analyzes the theory of enterprise cooperation under industrial agglomeration, and establishes the index system, selection method and scientific rational selection process of strategic partner selection under this foundation and background<span style="font-family: 'Times New Roman';">, </span>to provide theoretical guidance for enterprises to choose the best strategic partners for industrial agglomeration.</p>

A proposed method for third-party reverse logistics partner selection and order allocation in the cellphone industry

There are growing social and government pressures that encourage end of life (EOL) electronic products companies to focus on reverse logistics (RL) and recovery options. The complexity of RL elements for EOL electronic products is a challenge in this field. Recently, original equipment manufacturers (OEMs) have focused on RL activities. To this aim, third-party reverse logistics partners (3PRLPs) play an important role. This paper simultaneously draws attention to the selection of 3PRLPs and determine how orders are assigned to every 3PRLP using a new framework. There are two phases in this framework. The first phase includes an approach that integrates data envelopment analysis (DEA) with a differential evolution (DE) algorithm to increase the discriminatory power and distinguish the 3PRLPs based on their efficiencies. DEA is considered in this study because it is an effective method to determine the efficiency based on the simultaneous analysis of inputs and outputs. In Phase 2, those efficiency scores are utilized to allocate orders to 3PRLPs using a multi-objective model. Two solution approaches are employed for solving the proposed multi-objective model and to find Pareto-optimal solutions. The application of the models is shown in Canada’s cellphone industry. The results reveal that the efficiency of 3PRLPs may have an effect on both third-party reverse logistics partner selection and the orders allocated to them.

Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19

PurposeCollaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk.Design/methodology/approachA combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection.FindingsIt is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period.Research limitations/implicationsThe approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19.Originality/valueThis paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.

Research on Partner Selection Method of Logistics Service Supply Chain Based on Supply and Demand Matching

Partner selection problem plays an important role in the coordinated operation of logistics service supply chain. In order to select the optimal partner enterprises of logistics service supply chain, a two-stage partner selection method is proposed from the perspective of supply and demand matching. In the first stage, the logistics project is divided into multiple subtasks. The demand criteria system of subtasks and the supply capabilities criteria system of candidate enterprises are established. The concept of subtask-oriented supply–demand matching degree is proposed. According to the supply–demand matching degree threshold, the qualified enterprises of each subtask are selected. In the second stage, a partner selection model is established. The partner selection model is transformed into a matching problem of weighted bipartite graph between subtasks and qualified enterprises, and the optimal matching combinations are determined by using Kuhn–Munkras algorithm. The feasibility of the two-stage partner selection method is verified by a computational experiment. The sensitivity analysis in the computational experiment provides help for decision makers to set parameters more reasonably.

Using Improved Prospect Theory to Develop a Partner Selection Method for Virtual Enterprises with Unknown Weight

A “virtual enterprise” is an effective organization formed by enterprises and partners under market opportunity which can flexibly adapt to the dynamic market demand and improve the competitiveness of enterprises. To select virtual enterprise partners objectively and scientifically, this study proposes the evaluation model of the innovation resource capability of the alternative enterprises under the unknown weight. In the multigranularity hesitation fuzzy language environment, the unknown weight is solved by using fuzzy entropy theory. The risk attitude of decision-making enterprises is introduced by using the improved prospect theory and the selection of partners is comprehensively considered. Finally, a case study is presented to demonstrate the effectiveness of the proposed approach. The research intends to enable the virtual enterprise to choose the partners swiftly such that they can compensate for the shortcomings and optimize the allocation of innovation resources.

Research on supply chain partner selection method based on BP neural network

In the process of establishing supply chain partnership, partner selection is the key and main step. If the enterprise selects the appropriate supply chain partner, in the material equipment unit price, the material equipment production and the supply ability, the product quality appraisal, the brand meets the demand, the new product development ability, has the bad record, the historical project performance, management system and management level, service level, human resource level, internal information processing level, historical cooperation situation, cooperation will, corporate culture and strategic fit degree, financing support ability, information transmission ability, Enterprise green idea propaganda, product energy consumption or energy consumption ratio, green building project participation in construction, environmental protection and energy-saving product development investment, toxic and harmful raw materials use, green matter The use of flowing green packaging, the use of recycled materials/product recycling, and the treatment of industrial “three wastes” will all produce a series of advantages that cannot be matched by traditional relationships. Then, the whole supply chain competitiveness will be improved. This paper studies the selection and evaluation of the partners in the supply chain environment from the point of view of the current research situation of the cooperative relationship in the supply chain environment at home and abroad. Based on the relevant research results at home and abroad, according to certain principles and methods, combined with experts’ evaluation of the future trend of qualitative indicators, a set of evaluation index system of supply chain partners is constructed. The standardized treatment of evaluation index is given. By comparing and analyzing the advantages and disadvantages of the common evaluation methods, the mature BP neural network is applied to the artificial neural network by using the artificial neural network evaluation method. MATLAB software is used to construct neural network. BP neural network is used for training and the trained neural network is used to evaluate an example. The results show that this method can solve the problem of partner selection and evaluation in supply chain environment, and improve the evaluation efficiency.

A novel network optimization partner selection method based on collaborative and knowledge networks

Organizational innovation requires strong social collaboration and knowledge networks as well as focused partner selection strategies that complement employee strengths. Therefore, this paper proposes an effective, innovative partner selection method on the basis of collaboration network deconstruction optimization using collaboration and knowledge networks. To ensure collaborative network deconstruction optimization, the proposed method firstly improves the focal actor's management efficiency by eliminating network redundancy and identifying the key primary contacts. Then, to fully consider the knowledge benefits to be gained from joint collaboration, the knowledge fusion process is modeled using knowledge combinations from the knowledge networks. Further, social benefits and knowledge benefits maximization are jointly considered in the selection of suitable partners. And at last, a case study is given that demonstrates the proposed method is highly effective in selecting suitable partners for the focal actor that significantly improves both the social and knowledge benefits.

An Efficient Partner Selection Method to Overcome the Interference Effect in Wireless Networks

In this paper, through a mathematical analysis of the overall links capacity equation, we present an efficient partner selection criterion in a cooperative communication scheme with a time-varying fading channel and severe interference on the cooperative links to mitigate the interference effect without the need for additional power consumption to transmit the information signal. For the partner(s) selection, we examine different selection criteria based on minimizing the error rate and maximizing the end-to-end system capacity to collaborate in the delivery process. We prove that in the proposed relay scheme, a simple selection criterion independent of the interference state is a sufficient and efficient criterion for selecting the partners out of terminals suffering from interference. It is found that the use of a simple and efficient selection criterion for assigning multiple cooperating terminals is able to achieve a significant diversity gain, conserve the energy of individual terminals, and improve the error performance with low computational complexity, even in the absence of the interference state information. All of the theoretical findings are verified through simulation studies.

A Method for Partner Selection of Supply Chain Using Interval-Valued Fuzzy Sets — Fuzzy Choquet Integral and Improved Dempster–Shafer Theory

Supply chain partner selection (SCPS) is an important issue for firms to remain highly competitive. SCPS is generally formulated as a fuzzy multi-criteria decision-making problem, of which the most crucial step is how to cope with the fuzzy correlations of multi-criteria and individual differences of experts. To gain more exact results, we adopt interval-valued intuitionistic fuzzy sets to express the fuzziness of multi-criteria. Fuzzy Choquet integral model is developed to explain correlations of multi-criteria and calculate the evaluation results of each expert. An improved Dempster–Shafer theory is utilized to reconcile differences and synthesize each expert decision results. Additionally, an example is presented to illustrate the potential application of the proposed method.

A Method of Partner Selection for Knowledge Collaboration Teams using Weighted Social Network Analysis

Abstract Partner selection is the primary aspect of the formation of knowledge collaboration teams (KCTs). We propose a method of partner selection for KCTs based on a weighted social network analysis (SNA) method in which the individual knowledge competence and the collaboration performance of candidates are both considered. To select the desired partners, a biobjective 0-1 model is built, integrating the knowledge competence and collaboration performance, which is an NP-hard problem. Then, a multiobjective genetic algorithm (MOGA) is developed to solve the proposed model. Finally, a real-world example is provided to illustrate the applicability of the model, and the MOGA is implemented to search for Pareto solutions of partner selection for KCT in this case. Moreover, some simulation examples are used to test the efficiency of the algorithm. The results suggest that the proposed method can support effective and practical partner selection.