On Physical Internet Logistics: Modeling the Impact of Consolidation on Transportation and Inventory Costs

Venkatadri, Uday; Krishna, Kasinadhuni Shyama; Ülkü, M. Ali

doi:10.1109/tase.2016.2590823

Cited by 52 publications

(30 citation statements)

References 16 publications

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“…Venkatadri et al. (2016) assess the PI from a shipment consolidation perspective by analyzing traditional distribution and consolidated distribution within a European city network. Zhang et al.…”

Section: Related Work and Positioningmentioning

confidence: 99%

“…study the rail-road π-hub allocation problem where the π-hub is distinguished from a classical road-rail terminal by having modular and standard π-containers Yao (2016). applies the shared and open PI logistics network in the context of optimizing one-stop delivery scheduling in online shopping Venkatadri et al (2016). assess the PI from a shipment consolidation perspective by analyzing traditional distribution and consolidated distribution within a European city network.…”

mentioning

confidence: 99%

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Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space

Ambra

Caris

Macharis

2020

J of Business Logistics

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The Physical Internet (PI) concept presents a radical change with the aim to revert the unsustainable practices that are used for transporting goods. It identifies dedicated freight flows and transforms them into transparent open logistics networks which can be accessed by other users, such as shippers and carriers. In this paper, we test the universal network openness in which the users can tap into the PI network and place orders that will be assigned to the nearest available transport service and consequently delivered to the order sender. The objective of our paper is to investigate the impact of inserting extra service points into existing dedicated freight flows of a service‐driven company. We simulate different transparency levels and routings to new pickup locations and evaluate the impact in terms of altered lead times, covered distances, and fill rates. The novel aspects presented herein are (1) deliveries based on decentralized location detection of the nearest order sender, (2) dynamically changing speed parameters of agents within specific geographic clusters based on their geo‐locations in order to account for congestion levels, (3) more realistic routing strategies that consider the urban layout, and (4) transparent querying of nearest agents in space and time that meet specific conditions such as current ongoing processes, available capacity, and position. Finally, we identify the impact from a general/holistic perspective that emerges once extra orders are assigned to the service‐driven company's fleet.

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Section: Related Work and Positioningmentioning

confidence: 99%

mentioning

confidence: 99%

Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space

Ambra

Caris

Macharis

2020

J of Business Logistics

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show abstract

“…Again, the PI provides the broader framework and allows for an assessment of how SC innovations trigger intra-and inter-organizational structural changes. Related previous research has investigated the structural impact of the PI in numerous areas ranging from the design of vendor-managed inventories based on shared facilities and means of transport [63] to PI networks that span 26 European cities in 9 countries [64].…”

Section: Structural Researchmentioning

confidence: 99%

Combining Blockchain Technology and the Physical Internet to Achieve Triple Bottom Line Sustainability: A Comprehensive Research Agenda for Modern Logistics and Supply Chain Management

Treiblmaier

2019

Logistics

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Integrating triple bottom line (TBL) goals into supply chains (SCs) is a challenging task which necessitates the careful coordination of numerous stakeholders’ individual interests. Recent technological advancements can impact TBL sustainability by changing the design, structure, and management of modern SCs. Blockchain technology enables immutable data records and facilitates a shared data view along the supply chain. The Physical Internet (PI) is an overarching framework that can be applied to create a layered and comprehensive view of the SC. In this conceptual paper, I define and combine these technologies and derive several high-level research areas and research questions (RQ) to investigate adoption and management as well as structural SC issues. I suggest a theory-based research agenda for the years to come that exploits the strengths of rigorous academic research, while remaining relevant for industry. Furthermore, I suggest various well-established theories to tackle the respective research questions and provide specific directions for future research.

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“…Consider that a manufacturer sells products offline through an independent retailer, while the manufacturer expands offline products to direct online channels, and establishes trust transmission between offline and online channels to achieve channel synergy. In channel pricing, the full price theory of channels [22] is used to establish a model to study the issue of trust transmission between channels and to discuss the above issues.…”

Section: Introductionmentioning

confidence: 99%

Research on Consumer Risk Perception and Trust Transmission between Channels

Gibbert¹,

Cavalletti²

2021

IJSBT

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Based on the theoretical foundation of empirical research on online consumer trust, this paper establishes a mathematical model of trust transmission between channels. Consider that a manufacturer sells products offline through an independent retailer, while the manufacturer expands offline products to direct online channels, and establishes trust transmission between offline and online channels to achieve channel synergy. In channel pricing, the full price theory of the channel is used to establish a model to study the issue of trust transmission between channels. Based on the different perceived risks of online and offline consumers, the issue of trust transmission and pricing between channels is studied. Taking the online consumer trust of channel expansion as the object, constructing the consumer utility function under the influence of perceived risk and the degree of online trust, and establishing the Stackelberg game model. The relationship between channel pricing and online trust level and the main determinants of trust transmission between channels are discussed. The research results show that the increase in online trust leads to a decrease in offline pricing, a decrease in offline demand, and an increase in online demand, and the profits of manufacturers increase while the profits of retailers decrease. Also, manufacturers' efforts to transmit trust in online channels decrease with the increase in offline product performance fluctuations, decrease with the increase in trust transmission cost coefficient, and increase with the increase in offline and online cost gaps.

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On Physical Internet Logistics: Modeling the Impact of Consolidation on Transportation and Inventory Costs

Cited by 52 publications

References 16 publications

Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space

Do You See What I See? A Simulation Analysis of Order Bundling within a Transparent User Network in Geographic Space

Combining Blockchain Technology and the Physical Internet to Achieve Triple Bottom Line Sustainability: A Comprehensive Research Agenda for Modern Logistics and Supply Chain Management

Research on Consumer Risk Perception and Trust Transmission between Channels

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