Collaborative Planning System Research Articles

Addressing the consensus on information sharing in CPFR information systems: Insights from manufacturer – retailer dyads

This study investigated the mechanism of improving consensus between one dominant manufacturer and retailers in evaluating retailers’ information sharing in a Collaborative Planning, Forecasting, and Replenishment (CPFR) system. IT capability, goodwill trust, and competence trust were proposed as antecedents of this consensus based on organizational information processing theory (OIPT). A matched questionnaire survey was conducted, generating 253 manufacturer-retailer dyads for analysis. Consensus on information sharing was operationalized by the degree-symmetric model (DSM). The empirical results showed that retailers’ IT capability, goodwill trust, and competence trust in the dominant manufacturer were positively related to the consensus on information sharing. Furthermore, the interaction between retailers’ IT capability and goodwill trust was negatively related to this consensus, whereas the interaction effect of retailers’ IT capability and competence trust was positive.

English

–Abstract– There is an interlink, on management, planning, and cohesiveness remained a challenging factor to fully explore the Namibian Transportation and Supply Chain Management potential in the country. The problem identified is that Namibia maritime supply chain partners are facing challenges to work together to enhance the operations of the ports in Namibia due to a lack of a collaborative planning system. The study intended to analyze key elements and factors that are critical to Collaborative Planning, Forecasting and Replenishment CPFR as a measure to improve the cooperative of all stakeholders in the industry throughout the supply chain management system through improved transportation and cargo handling. Information shared between suppliers and retailers aids in planning, and satisfying customer demands through a supportive system of shared information. This allows for continuous updating of inventory and upcoming requirements, making the end-to- end supply chain process more efficient. The main objective of the study is to investigate the role of a collaborative planning system for maritime supply chain partners in enhancing port operations in Namibia. Seven Institutions, which are the partners in the maritime supply chain, namely Namport, TransNamib, Road fund administration, Roads authority, Air Namibia, Airport Company, and NCCI, participated in this study, whereby for each institution, 10 respondents were purposefully selected. An open-ended and closed ended questions, which will be used to uncover the role of cps in enhancing port operation in Namibia. 72% of participants felt that lack of planning system affected service delivery. Whilst, 85.3% agreed that there are factors that need to be addressed to enhance the planning system, and 83.6% felt that the planning system contributed to the enhancement of service delivery. It will be good if the Ministry of Works and Transport, supported by the National Keywords : Planning Commission, Spearheads this committee.

Exploiting a fleet of UAVs for monitoring and data acquisition of a distributed sensor network

This study proposes an efficient data collection strategy exploiting a team of unmanned aerial vehicles (UAVs) to monitor and collect the data of a large distributed sensor network usually used for environmental monitoring, meteorology, agriculture, and renewable energy applications. The study develops a collaborative mission planning system that enables a team of UAVs to conduct and complete the mission of sensors’ data collection collaboratively while considering existing constrains of the UAV payload and battery capacity. The proposed mission planner system employs the differential evolution optimization algorithm enabling UAVs to maximize the number of visited sensor nodes given the priority of the sensors and avoiding redundant collection of sensors’ data. The proposed mission planner is evaluated through extensive simulation and comparative analysis. The simulation results confirm the effectiveness and fidelity of the proposed mission planner to be used for the distributed sensor network monitoring and data collection.

Efficiency Test of K-Means Clustering Algorithm on Collaborative Trip Advisory and Planning System

Efficiency Test of K-Means Clustering Algorithm on Collaborative Trip Advisory and Planning System

An Analytic Approach to Understanding Process Dynamics in Geodesign Studies

Recent advances in planning support technologies has enabled interactive collaboration in design processes by multiple stakeholder groups. The available technologies collect and store information on both the evolution of design alternatives and the interactions of participants involved in the design process. However, making sense of available process log-data is still a challenge. This study focuses on process analytics in geodesign studies, where iterative collaboration between stakeholders generates design alternatives and consensus by negotiation. Early findings demonstrate how geodesign process analytics makes it possible to gain insights both in recurrent patterns in participant behavior and in the evolution of the design. The approach, based on the enhanced adaptive structuration theory framework, has been tested using data collected by the Geodesignhub web-based collaborative planning support systems in the Cagliari (Italy) geodesign study.

Implementing k-means clustering algorithm in collaborative trip advisory and planning system

Fueled by the help of the Internet, more and more tourists nowadays tend to plan trips by themselves in order to have trip plans that meet their preferences and convenience perfectly. However, tourists may face some problems when they plan a trip by themselves, which makes the whole trip planning process challenging and tiring. These problems include extensive tourism information, manually constructing an itinerary for a trip and difficulty in satisfying the needs of all trip participants. Therefore, a web-based trip planning system is proposed in this project to solve all these problems in order to help tourists in planning their desired trips more effectively and efficiently. This system will help users to search for attractions and restaurants in Southeast Asian countries faster by providing filtering and prioritizing features. This system also facilitates the decision-making process of tourists when choosing places to visit and restaurants by utilizing the power of word-of-mouth (reviews). Besides, this system will aid tourists by reducing the need to manually construct the itinerary for a trip. The k-means clustering algorithm will be used to auto-arrange the trip itinerary to ensure places close to each other are arranged to be visited on the same day so that tourists can save on unnecessary transport costs and time. Lastly, this system promotes collaborative trip planning by providing a platform for all the participants in a trip to discuss and plan their trip together.

Evaluation of Sarbagita Urban Infrastructure Cooperation in Public Service Management

Sarbagita area refers to a system of cities in South Bali Region consisting of several cities namely Denpasar City, some parts of Badung regency, Gianyar regency, and Tabanan regency. Urban Area of Sarbagita becomes a form of agglomeration of Denpasar City with other cities developed through regionalization process, i.e. metropolitan cooperation. This leads to an externality that requires the integrated handling of each region in the metropolitan area of Sarbagita through a co-operative institution. The purpose of this study is to analyse the implementation and the form of Sarbagita cooperation, and to evaluate the performance of the cooperation of the Sarbagita urban areas in the delivery of public services and tourism activities. Thus, the level of success of the program and the way to do the cooperation can be measured. This research uses deductive approach with qualitative and quantitative mixed method approach. Qualitative descriptive analysis was conducted to know the condition before and after Sarbagita cooperation performance and quantitative analysis was used to give scoring to cooperation performance. The results of this study are (1) Based on the results of the analysis, Sarbagita area cooperation used a collaborative planning system, that is running the program with the working mechanism of the combining regulations between local intergovernmental agreement for the common interest and then by holding a joint meeting in decision-making as reflected in written Agreements to establish cooperation programs. The characteristic of this cooperation is to set up a centralized operational body consisting of elected representatives who are assigned to join it. (2) Overall, Sarbagita area cooperation is still experiencing some constraints in the implementation process. The evaluation criteria of effectiveness and efficiency has not been optimal so that the result of assessment criteria of Sarbagita cooperation program can be categorized in the level of medium. Keyword: Urban Cooperation, Written Agreements, Metropolitan Sarbagita

How Can Sweden Deal with Forest Management and Municipal Planning in the System of Ongoing Land-Use and Multilevel Planning?

AbstractThis article studies the relation between territorial and functional planning by investigating the Swedish local comprehensive planning system and the forest management. The former is locally based and the latter is functionally based or sector-orientated. By interviewing planners from the County Administrative Boards responsible for monitoring the national interests in the Swedish municipalities and forest managers from the Regional Forest Agency Administration, we found out that forest- and municipality related issues that coincide or interact with each other is normally considered in the collaborative planning process based on consultations and cooperation between the involved stakeholders. Weaknesses in the collaborative planning system consists of lack of coordination between the involved legal frameworks as well as lack of local planning resources and in some cases competences.

An Empirical Examination of Supply Chain Sustainability in Turkish Automotive Sector: Using the PLS-SEM Approach

In today’s dynamic environment, it has become a necessity for firms to better control their supply chain operations against supply chain vulnerabilities. Little consideration has been paid to the relationship between business environment, supply chain risks, supply chain vulnerability, supply chain performance and sustainability. Hence, we aim with this study to unveil the influence of supply chain variables on supply chain performance and sustainability. The proposed model consists of 10 hypotheses to disclose the relationship between 6 main constructs; Supply Chain Uncertainty, Supply Chain Risks, Supply Chain Performance, Collaborative Planning Systems, Vulnerability, and Supply Chain Sustainability. The hypotheses are validated by empirical study with 213 domestic and foreign automotive companies operating in Turkey. The results of this study indicate that supply chain sustainability is primarily affected by supply chain performance and collaborative planning systems. The findings of this study could provide the necessary point of view for the managers working in supply chain management area to comprehend the dynamics behind sustainable supply chains.

Process and knowledge management in a collaborative maintenance planning system for high value machine tools

Product manufacturers are extending their responsibilities in the whole life cycle by providing services to their customers. In recent years, product service system has become an important research topic to address the special requirements in the new service driven business model. High value machine tools in modern manufacturing factories are special products: they are regarded as ‘products’ from maintenance point of view, and they also manufacture other products. In the new business model, the quality and behavior of a machine tool not only affect the quality of the parts it manufactures, but also affect the profits of the machine tool’s manufacturer. However, in the research area of product service systems and related computerized maintenance systems, there is a lack of investigation into the special nature, problems and requirements of high value machine tool maintenance, which are very important in modern digitized manufacturing systems. Therefore, this research investigated the various relationships between different stakeholders in the machine tools’ lifecycle, focusing on knowledge management, communication and the decision-making processes. This research also explored the potential application of advanced content management systems, which are widely implemented in the financial, business and government organizations, in the manufacturing engineering domain which has been dominated by traditional engineering information systems. A prototype collaborative maintenance planning system is proposed, developed and evaluated using an example machine tool, which indicated that significant improvement could be achieved and the content management technology has a number of advantages over the traditional engineering information systems, such as computer aided engineering, product data and lifecycle management, and enterprise resource planning systems, in managing machine tool maintenance and service information including dynamic and unstructured knowledge.

A Comparative Simulation Study about Supply Chain Inventory Management Strategies Based on System Dynamics

This paper aims to compare benefits of Vendor Managed Inventory (VMI) system and Collaborative Planning, Forecasting, and Replenishment (CPFR) system based on (R,Q) inventory strategy. Four-stage supply chain models that are simulated by system dynamics (SD) methods will be used to support the comparison. In addition, factors of total cost for the whole supply chain (TSC) and product fill rate (fr) can assist to evaluate simulation models. The results of this study indicate that benefits and flexibility of CPFR appear to be higher than VMI under (R, Q) strategy, and key parameters have significant impacts on TSC of the two systems.

An Improved Ant Colony Optimization for the Multi-Robot Path Planning with Timeliness

To achieve efficient search performance for the multi-robot system which carries out the goal search task with consideration of timeliness, a multi-robot collaborative path planning system is designed to guide the robots during the search process. In the system, a planning method based on an Improved Ant Colony Optimization (IACO) algorithm is proposed. In the solution procedure, the path cost and goal timeliness are taken as two optimization goals. Compared to the traditional optimization algorithm, the IACO algorithm has global superiority which brings about better solution. Experiment results show that all robots accomplish the search task safely and efficiently by collaborative work using the proposed approach.

Learning curves in collaborative planning, forecasting, and replenishment (CPFR) information systems: An empirical analysis from a mobile phone manufacturer

While Collaborative Planning, Forecasting, and Replenishment (CPFR) information systems have been increasingly deployed to improve supply chain operations in a cross section of industries, the extant literature has largely overlooked the learning effects within organizations, thereby resulting in incomplete assessment of their business value. Using an operational-level panel data for nine product lines over 2.5 years, we empirically examine the learning curves in CPFR between Motorola, a mobile phone manufacturer, and one of its U.S.-based national retail partners. We found that the two key components of CPFR, collaborative forecasting (CF) and collaborative replenishment (CR), exhibit distinct learning curves. Forecast accuracy improves immediately following CPFR implementation but the rate of improvement slows over time, whereas inventory levels increase at first and begin decreasing after a period. Further, we found different learning effects in terms of inventory levels when products are later replaced with new form factors. Product replacements have lower inventory levels than their antecedents, at least for low-end products. We discuss important implications for theory and practice at the interface of information systems and operations management.

A Mobile Shared Workspace Supporting Healthcare Task Cooperative Planning

In a health care environment, in which task planning process is fundamentally a collaborative task that requires the participation of many health care professionals with different skills working simultaneously on same cases. However, most recent healthcare research has focused on methods mainly based on communication, rather than collaboration supports. We followed then a CSCW-based planning approach which constitutes an evolution of planning environments toward new shared workspaces supporting collaboration. Our work led us first, to analyse the related tasks in an Algerian maternity ward in order to highlight the vital collaborative medical tasks that need to be modelled. The following sections outline basic design concepts of our mobile collaborative planning system, which is designed to provide a flexible group interaction support for care coordination and continuity.

A Collaborative Enterprise Framework to Support Engineering Changes in Manufacturing Planning and Control

The main challenges for the enterprises are complexity of the products and uncertainty of the processes. This challenge involves engineering change that frequently requires redesign or altering the products which may call for enterprise agility and flexibility. To meet such a requirement, enterprises require better tools for resilient manufacturing planning and control, and execution. Due to the limitations of the enterprise resource planning (ERP), there is a question how would the future enterprise systems will look like. To approach an answer to this question, this research paper provides an analysis of engineering changes, its characteristics, problems and their implications. Against the background, a conception of future collaborative enterprise model (CoPIDSS: Collaborative planning, information and decision support system) is proposed. In this paper, we discuss the importance of collaborative planning for enterprise resilient manufacturing planning and control. We have analysed user stories provided by industry as scenarios, to understand the collaborative processes in their workplaces and their needs for collaborative platform support. This paper aims to address the following research questions: How does engineering changes and error handling affect the degree of collaboration and decision making within and across enterprises and how CoPDISS helps to overcome this? Is the storage and management of knowledge the one of the key factor to engineering changes and error handling control in a collaboration and decision environment?

Apply 3C Theory in Collaborative Planning, Forecasting, and Replenishment Expert System Formulation

In recent years, both the VICS CPFR committee and ECR Europe have published several reports presenting pilot implementations of the CPFR process model and providing recommendations and roadmaps for companies interested in implementing it. These sources indicate that by implementing CPFR both retailers and suppliers can expect to benefit from increased forecast accuracy, reduced stock-outs, increased sales, and reduced inventories. Based on the commonality, capacity and consumption (3C Theory) of a specific material, a GARCH based collaborative planning, forecasting, and replenishment (CPFR) expert system associated with 3C Theory is proposed in this paper. Meanwhile, through setting an optimal safety multiplier in exception policy, an exception demand also can be efficiently and effectively controlled to maximize the net present value. Keyword: Collaborative Planning, Forecasting, Replenishment (CPFR), GARCH Model, Expert System, 3C Theory

A conceptual framework for designing and building Web-based Revenue-sharing Collaboration Systems (WRCS) in supply chain management

Good collaboration plays an important role in effective supply chain management. The main obstacle to collaboration within a supply chain is the conflict between each enterprise's local optimisation and the chain's global optimisation. We show that with relationships, trust, contracts and other social factors, the sharing and reallocation of revenue can be used to align with the objectives of each member of the supply chain management, from local to global optimisation. We propose a Web-based Revenue-sharing Collaboration System (WRCS) that takes advantage of Information Technology (IT) in the digital economy. We outline the WRCS scheme, which includes four components: 1) measuring performance, 2) monitoring performance and revenue reallocation, 3) Global Optimisation Algorithm (GOA), 4) reconfiguration (planning, forecasting and recommendation). We identify the technology and system requirements for WRCS and illustrate the difference between Collaborative Planning, Forecasting and Replenishment (CPFR) systems and WRCS. The challenges, impediments and enablers for the implementation of the proposed collaboration system are also discussed.

Implementação de um sistema Collaborative Planning, Forecasting, and Replenishment em uma grande rede de fast food por meio de um prestador de serviços logísticos

A gestão colaborativa é, atualmente, um elemento-chave no contexto da gestão da cadeia de suprimentos. Neste artigo, o tema é abordado mediante a análise de um caso real, em que uma grande rede mundial de fast-food e seu prestador de serviço logístico (PSL) trabalharam conjuntamente no Brasil em um projeto-piloto para a implementação de um collaborative planning, forecasting, and replenishment (CPFR). O trabalho faz uso de uma metodologia de pesquisa-ação e apresenta as principais variáveis que influenciaram o projeto, abordando os processos necessários para a implementação e os pontos que favorecem o CPFR. Com base no caso estudado, o trabalho apresenta um conjunto de propostas sobre o papel dos agentes da cadeia em projetos dessa natureza. A gestão da cadeia de suprimentos por intermédio da coordenação direta de um PSL também permite demonstrar as possibilidades e dificuldades desse sistema, contribuindo com a visão colaborativa na cadeia de suprimentos a partir da relação entre seus agentes.

A distributed CSP approach for collaborative planning systems

Distributed or multi-agent planning extends classical AI planning to domains where several agents can plan and act together. There exist many recent developments in this discipline that range over different approaches for distributed planning algorithms, distributed plan execution processes or communication protocols among agents. One of the key issues about distributed planning is that it is the most appropriate way to tackle certain kind of planning problems, specially those where a centralized solving is unfeasible. In this paper we present a new planning framework aimed at solving planning problems in inherently distributed domains where agents have a collection of private data which cannot share with other agents. However, collaboration is required since agents are unable to accomplish its own tasks alone or, at least, can accomplish its tasks better when working with others. Our proposal motivates a new planning scheme based on a distributed heuristic search and a constraint programming resolution process.

Selection model and n-tier expansion of collaborative credit-granting guaranty mechanisms and techniques grounded on agile virtual enterprise

Collaborative credit granting is a key link in the operation of Agile Virtual Enterprise (AVE) chain and its supply chain. This paper first analyzes the measurement model of modern credit risk, and then it proposes the selection model of collaborative credit-granting guaranty techniques grounded on capital property pricing, and some important conclusions are further reached on the basis of the empirical studies. Meanwhile, n-tier expansion is constructed for the collaborative credit-granting monitoring mechanism grounded on AVE. Under this mechanism, the credit risk in the AVE enterprises can be optimized; and the AVE chain matches the working mechanisms in their capacities of real-time resource sharing, n-tier resource allocation, mission assignment, control and supervision. In the end, the distance management and risk blockage could be accomplished on the supply chains in all the AVE enterprises by forming a strong self-organized and self-control working chain, and the research orientation is indicated by integrating this mechanism with AVE-based Collaborative Planning, Forecasting and Replenishment (CPFR) working system.