Collaborative Transportation Management Research Articles

Logistics collaboration in vehicle manufacturing: case studies with a triadic perspective

ABSTRACT This paper discusses logistics collaboration applied to a vehicle-manufacturing setting. We reach out to a larger segment of the supply chain by employing a novel unit of analysis, a logistics triad. The triad encompasses an Original Equipment Manufacturer, a Third-Party Logistics Service Provider, and first-tier suppliers. We use the framework known as Collaborative Transportation Management (CTM) to study collaborative transportation activities, focusing on the important relationship between logistics collaboration and logistics performance. Using a qualitative research orientation and a multi-case research strategy, we interviewed logistics practitioners in three countries to identify the enablers of CTM, the salient collaborative practices, and the performance outcomes. The study uncovers the extent to which CTM contributes to the operational and relational performance of the logistics triad. We provide empirical evidence of an ad hoc implementation of this notion. We propose avenues of intervention to preserve logistics collaboration and to enhance logistics performance.

Evaluating the guanxi and supply chain collaborative transportation management in manufacturing industries

Manufacturing firms can facilitate their shipping and logistics operations via cooperation by adopting collaborative supply chain transportation. Moreover, in Chinese culture, guanxi is considered crucial for fostering close partnerships. This study empirically examines the relationships between supply chain information integration (SCII), collaborative transportation management (CTM) through interaction and collaboration between trading partners and carriers (supply chain CTM), logistics performance, and guanxi in manufacturing industries. In total, 152 usable responses from the manufacturing industry were collected using a questionnaire. A structural equation model (SEM) was used to evaluate the hypotheses. The results indicate that SCII is significantly positively related to supply chain CTM and logistics performance. While supply chain CTM is significantly positively related to logistics performance for manufacturing firms, guanxi has a significant moderating effect between SCII and supply chain CTM. The moderating effect of guanxi on manufacturing firms' supply chain CTM and logistics performance was not found in this study.

Evaluating the Guanxi and Supply Chain Collaborative Transportation Management in Manufacturing Industries

Evaluating the Guanxi and Supply Chain Collaborative Transportation Management in Manufacturing Industries

Nebengin: Android-based Collaborative Transportation Application

Online transportation services are transportation services that take advantage of advances in information technology. In Indonesia, several online transportation service providers have grown, such as Gojek, Grab and several other startup startups. In addition to the many benefits and conveniences that have been provided, the service price factor is still felt expensive for the community, especially the lower classes. One solution is to build a Collaborative Transportation Application that utilizes the Collaborative Transportation Management (CTM) interaction method. The main features contained in the application, namely the feature of finding driver routes in the direction of the consumer route, online chat, and route management by utilizing the Android mobile application based on Google Map API and Firebase Cloud Messaging. Performance testing using JMeter from a total of 300 virtual users performs 6 HTTP requests resulting in an average response time of 0.852 alias tolerated according to Apdex standards. Based on the results of testing of 15 respondents obtained the results that this application is easy to use, supports traveling activities, fast response time when used, features provided are quite complete, an accurate position tracking system, unidirectional route search is very compatible with consumer routes, and the process of coordination and driver collaboration is very good so that the travel costs borne by consumers become more economical..

Multi-Agent Reinforcement Learning for Value Co-Creation of Collaborative Transportation Management (CTM)

Collaborative Transportation Management (CTM) is a collaboration model in transportation area. The use of CTM in today's business process is to create efficiency in transportation planning and execution processes. However, previous research paid little attention to demonstrate the ability for all agents in CTM to co-create value in services. The purpose of this paper is to increase the understanding of value co-creation in CTM area and learning processes in real systems based on value co-creation of CTM. Multiple case studies were used to analyze the value that was perceived by all agents in CTM in each collaboration stage and provided empirical evidence on the interactions among agents. Model-free reinforcement learning was used to predict how CTM could reduce transportation cost, increase visibility, and improve agility. The simulation results show that the input, feedback, and the experience of the agents are used to structure the collaboration processes and determine the strategies.

Co-creating value through agents interaction within service network

Purpose: The purpose of this paper is to gives further understanding on value co-creation mechanisms in B-to-B service network by reinforcing the processes, the relationships, and influences of other agents where Collaborative Transportation Management (CTM) forms might be best employed.Design/methodology/approach: In order to model the interactions among agents in the collaboration processes and the value co-creation processes, this research used three collaboration cases in Indonesia. Then, the agent-based simulation was used to capture both the collaboration process and the value co-creation process of the three collaboration cases.Findings: The interactions among the agents both inside and outside their collaboration environment determined agent’s role as a value co-creator. The willingness of an agent to accept the opinion of another agent determined the degree of their willingness to co-operate and to change their strategies, and perceptions. Therefore, influenced the size of the value obtained by them in each collaboration process.Research limitations/implications: The findings of the simulations subject to assumptions based on the collaboration cases. Further research is related to how to encourage agents to co-operate and adjust their perceptions.Practical implications: It is crucial for the practitioners to interact with another agent both inside and outside their collaboration environment. The opinions of another agent inside the collaboration environment also need to be considered.Originality/value: This research is derived from its emphasis on how a value is co-created by reinforcing both the collaborative processes and the interactions among agents as well as on how CTM might be best employed.

Analysis and simulation of collaboration policies among manufacturing industries and its effects on the maritime transportation cost

In this paper, a model is presented to analyse the effects on transportation cost through collaboration policies on maritime transportation. On this way, just the collaboration among manufacturing industries that use maritime transportation for export purposes is considered. The Collaborative Logistics era and Collaborative Transportation Management were researched to validate the proposed study and to obtain data for use in the model. Entrepreneurs and specialists were interviewed. Subsequently, a study was conducted on Agent-Based Modelling and Simulation and System Dynamics. The proposed model with System Dynamics was used to simulate the systemic effects from the collaborative policies of manufacturing industries, which increase bargaining power when the industries are allied to each other and can reduced maritime freight rates. This work helped to elucidate the importance of using simulation to analyse the behaviour of maritime transportation cost coming from the collaboration policies among industries.

Modelling Collaborative Transportation Management: Current State And Opportunities For Future Research

Collaborative Transportation Management (CTM) aims to reduce inefficiency, improve services, and provide mutual outcome to all parties. CTM has raised significant interest of both researchers and practitioners. Sharing information is the most basic form of coordination in supply chains to integrate CTM models at strategic, tactical, and operational levels. However, little has been known about the state of the art of CTM models. This paper presents a comprehensive review on the current state of CTM models. The overview of the CTM models is organized by classifying the previous literatures on different collaborative structures and different levels of planning. This paper also presents the relevant solution techniques used for each planning level. A review on the current state of CTM models concludes by highlighting the unaddressed areas or the gaps existing in the current literatures and by suggesting directions for future research in CTM. DOI:10.12660/joscmv8n2p96-119URL: http://dx.doi.org/10.12660/joscmv8n2p96-119

Value Co-creation Map in Collaborative Transportation

The use of Collaborative Transportation Management (CTM) in today's business process is to create efficiency in the transportation planning and execution processes. However, what's lacking in CTM model is a real understanding on of what value that can provide by all agents that involved in CTM to each other and eventually to their customers. Value co-creation mapping is developed to explain and explore the value that all agents might expect among themselves and their customers in CTM, in order to contribute in the improvement of the delivery and decision-making process. Value co-creation mapping in this paper also capture how interaction among all agents involved in order to know what their value, their customer value, and how to deliver this value, so all agents perceive the value delivered in order to achieve competitive advantage.

The impact of collaborative transportation management on demand disruption of manufacturing supply chains

This paper describes the impact of collaborative transportation management (CTM) on the performance of manufacturing supply chains using a multi-agent approach. Two supply chain models (with and without CTM) are proposed to show how it realises the real operational interactions between different supply chain partners under demand disruption. Simulation results of the proposed models reveal the evolution of the CTM supply chain with demand disruption. The dynamic delivery ability and order point which are caused by demand disruption in the CTM supply chain are investigated. The results indicate that CTM can significantly reduce costs and improve the flexibility of companies in handling demand disruption problems. It is suggested that CTM is an efficient mechanism to manage supply chains, especially under a demand disruption environment.

Impact of Collaborative Transportation Management on Logistics Capability and Competitive Advantage for the Carrier

AbstractCollaborative transportation management (CTM) is a relatively new collaboration model that addresses inefficiencies in the transportation process in supply chains. This study empirically examines the impacts of CTM on logistics capability and competitive advantage of carriers within a supply chain, and analyzes the relationships between logistics capability and competitive advantage. Based on factor analysis, key factors of CTM practice, key logistics capabilities, and key competitive advantage factors for carriers are identified. The relationships proposed in the framework are tested using structural equation modeling. Analytical results demonstrate that CTM practice enhances logistics capability and competitive advantage, with logistics capability reinforcing competitive advantage. In other words, CTM can have a direct and positive influence on competitive advantage, and an indirect influence through logistics capability. The results also indicate that carriers establish higher levels of integrated relationship with their customers in a CTM model can lead to improved customer‐service capability and enhanced cost‐leadership advantage.

Shipment forecasting for supply chain collaborative transportation management using grey models with grey numbers

The sharing of forecasts is vital to supply chain collaborative transportation management (CTM). Shipment forecasting is fundamental to CTM, and is essential to carrier tactical and operational planning processes such as network planning, routing, scheduling, and fleet planning and assignment. By applying and extending grey forecasting theory, this paper develops a series of shipment forecasting models for supply chain CTM. Grey time-series forecasting and grey systematic forecasting models are developed for shipment forecasting under different collaborative frameworks. This paper also integrates grey numbers with grey models for analyzing shipment forecasting under partial information sharing in CTM frameworks. An example of an integrated circuit (IC) supply chain and relevant data are provided. The proposed models yield more accurate prediction results than regression, autoregressive integrated moving average (ARIMA), and neural network models. Finally, numerical results indicate that as the degree of information sharing increases under CTM, carrier prediction accuracy increases. This paper demonstrates how the proposed forecasting models can be applied to the CTM system and provides the theoretical basis for the forecasting module developed for supply chain CTM.

The Effect of Adopting Collaborative Transportation Management by Taiwanese Computer Manufacturers-Model Building and Empirical Studies

Collaborative transportation management (CTM) enhances the value of the supply chain mainly through the cooperation between the shipper and the carrier. For the computer industry, the mechanism of CTM may reduce the transportation cost and the inventory cost. This paper developed the cost function of domestic computer industry based on the cost data from the thirteen listed companies during the period from 1999 to 2005 in Taiwan. The results of the empirical study showed that there is a substitution relationship between the transportation element and the inventory element in the whole computer industry. Additionally, the cross elasticity of the OBMs is higher than the one of the OEMs/ODMs. This means that the OBMs can significantly reduce the inventory cost by the efficient transportation. In the analysis of economic characteristics, the whole computer industry exhibits increasing returns to scale. Three OBMs, Asus, Acer, and Lemel, and three OEMs/ODMs, Wistron, Iventec, and Quanta, approximately possess constant returns to scale. That is to say, they almost achieve the optimal scale. Since internal costs will increase or reduce after introducing CTM, this research estimated the cost differences between computer companies with and without CTM base on the data in 2006.Then, we analyzed the changes in the cost differences under three different scenarios which are set by the accuracy of CTM and the degree of information sharing in the supply chain. The results indicated that computer industry saves the total cost ranging from 1.5% to 6.1% after implementing effectively.

The impact of Collaborative Transportation Management on supply chain performance: A simulation approach

Collaborative Transportation Management (CTM) is based on the interaction and collaboration between trading partners and carriers participated in the supply chain, appropriate application of CTM can improve the flexibility in the physical distribution and minimize the inefficiency of supply chain management. This paper proposes new concepts of CTM and carriers’ flexibility. A simulation approach is used to (i) evaluate the benefits of the proposed CTM, (ii) explain the concept of carrier’s flexibility, and (iii) optimize the delivery speed capability. Based on a simple supply chain including one retailer and one carrier, three different simulation models have been developed with changeable delivery lead time as follows: (1) Unconstrained delivery speed capability without CTM. (2) Constrained delivery speed capability without CTM; and (3) Constrained delivery speed capability with CTM. Simulation results reveal that CTM can significantly reduce the retailer’s total costs and improve the retailer’s service level.

Development of collaborative transportation management framework with Web Services for TFT–LCD supply chains

Under the fierce global competition, enterprises face the challenge to respond quickly and accurately to customers' diverse requirements. Excessive lead time, improper control of transportation resources and inaccessibility of tracking information may lead to ineffective and unreliable delivery. The seamless integration of trading partners such as suppliers, manufacturers and global third party logistics service providers (G3PLs) can improve the supply chain execution. With supply chain collaboration, lead time can be significantly shortened whereas the resource utilisation can be highly improved. Recently, collaborative transportation management (CTM) has provided the collaborative mechanisms of information sharing and order fulfillment for carriers and trading partners in supply chains. CTM initiative can reduce the ineffective transportation sections and better the delivery effectiveness. The heterogeneous information systems first should be integrated for starting up information sharing and data integration among carriers and trading partners. Web services possess characteristics of flexibility and interoperability that are suited for developing the inter-enterprise collaboration platform by integrating heterogeneous systems. With the web-services based CTM (WS–CTM), carrier and trading partners can collaborate on the process of order fulfilment. In this paper, the WS–CTM framework is developed to collaboratively manage transportation and distribution for a supply chain of thin film transistor liquid crystal display (TFT–LCD). The proposed WS–CTM can assist the panel manufacturers, system manufacturers and G3PLs to reduce the uncertainty in distribution, and improve the supply chain performance.

Procurement of agricultural products using the CPFR approach

PurposeThis paper seeks to apply a framework of collaborative planning, forecasting and replenishment (CPFR) to develop a procurement model for agricultural products.Design/methodology/approachConsidering the biological nature, seasonality and perishable characteristics of agricultural raw materials and products, the paper revises the CPFR reference model. Then, the paper constructs a n‐tier CPFR procurement model by extending a two‐echelon supply chain to a multi‐echelon supply chain and incorporating upstream suppliers in the supply chain. Moreover, the concept of collaborative transportation management (CTM) is integrated into the n‐tier CPFR procurement model. Finally, a case study is analysed and the efficacy of the proposed model is also validated.FindingsThe finding suggests that CPFR approach is applied in the procurement of agricultural products. The case results show that the service level is increased and inventory variance is reduced. The proposed model can thus improve the accuracy of forecasting and reduce inventory losses.Originality/valueThe paper offers a useful insight into procurement of agricultural products. The proposed model is a useful development for the agricultural industry in implementing CPFR in the future.

THE SYSTEM FRAMEWORK FOR EVALUATING THE EFFECT OF COLLABORATIVE TRANSPORTATION MANAGEMENT ON SUPPLY CHAIN

More and more factories operate on a just-in-time basis. In order to shorten planning cycles and minimize inventory levels in the value chain, transportation plays a critical role in the supply chain process. Collaborative Transportation Management (CTM) is based on the interaction and collaboration between trading partners and carriers on the supply chain, in order to avoid the inefficiency of physical distribution and accomplish the objective of improving the efficiency of supply chain management. This paper proposes a concept of CTM and a system framework for evaluating the benefits of CTM. Based on the beer game, we develop a beer game model of supply chain with CTM, and present the different simulation scenarios: (1) Constrained transportation capacity in beer game with CTM; (2) Constrained transportation capacity in beer game without CTM; and (3) Unconstrained transportation capacity in beer game without CTM. The manufacturers, distributors and carriers in the supply chain are considered as the partners of CTM. Results of the simulation reveal that CTM can significantly reduce the total supply chain costs, including inventory costs and backlog costs, and improve transportation capacity utilization.

Applying collaborative transportation management models in global third-party logistics

With the trends of e-commerce and globalization occurring in the economy, an effective global supply chain (GSC) management has become a business necessity for a multinational corporation seeking to secure market share. Although there has been much discussion on how a company gains competitive advantages through GSC management, the physical distribution of order fulfilment is less discussed in the literature. Global third-party logistics (3PL) has developed into an alternative for the needs of global distribution. In this paper, the authors present a new application of collaboration in GSC execution, namely collaborative transportation management (CTM), which can be used to reduce delivery time and improve delivery reliability. A case study is illustrated: The application of CTM by a 3PL provider in a notebook computer GSC. The implementation results show that the delivery cycle time and the total cost are simultaneously reduced.