Attended home delivery in Indian public distribution system: an iterated local search approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sayan Chakraborty ◽  
Kalpit Darbhe ◽  
Sarada Sarmah
Keyword(s):  
Distribution System ◽  
Real Life ◽  
Iterated Local Search ◽  
Home Delivery ◽  
Content Type ◽  
Delivery Problem ◽  
Public Distribution System ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Problem Setting

Purpose In the modern era of e-grocery, attended home delivery (AHD) has been identified as a crucial part of the last-mile delivery problem. This paper aims to deal with a real-life last-mile-delivery problem in the context of the Indian public distribution system (PDS). The authors identified two different environments for the said AHD problem and proposed two different approaches to address the issue under these problem settings. Design/methodology/approach In this study, the authors first consider the problem in a static environment and propose an iterated local search (ILS) integrated with an adaptive large neighborhood search (ALNS) meta-heuristic algorithm to obtain a routing solution. Thereafter, they extend the study in a dynamic environment where new delivery requests occur dynamically and propose a heuristic algorithm to solve the problem. For the dynamic case, multiple scenarios for the occurrence of delivery requests are considered to determine decisions regarding the opportunity to include a new request into the current solution. Findings By computational experiments, the authors show that the proposed approach performs significantly well for large size problem instances. They demonstrate the differences and advantages of the dynamic problem setting through a set of different scenarios. Also, they present a comparative analysis to show the benefits of adopting the algorithm in dynamic routing scenarios. Research limitations/implications Future research may extend the scope of this study by incorporating stochastic delivery failure probabilities and customer behavior affecting the delivery response. Also, the present study does not take inventory policies at the depot into consideration. It will be of interest to see how the system performs under the uncertainty of supply from the depot. Despite the limitations, the authors believe that this study provides food for thought and encouragements for practitioners. Practical implications This study shows the benefits of adopting an AHD problem in a dynamic setting in terms of customer service as compared to a traditional static environment. The authors clearly demonstrate the differences and advantages of the dynamic problem setting through a set of different scenario analysis. Social implications This paper investigates a real-life AHD problem faced by the Department of Food, Supply and Consumer Affairs, India. The findings of this study will be of particular interest to the policy-makers to build a more robust PDS in India. Originality/value The study is unique and highly relevant for real-world applications and can help build a more robust AHD system. Also, the proposed solution approaches to aid the problem in both static and dynamic routing scenarios will be of particular interest to practitioners.

scholarly journals Optimised solutions to the last-mile delivery problem in London using a combination of walking and driving

2020 ◽  
Vol 295 (2) ◽  
pp. 645-693
Author(s):  
Antonio Martinez-Sykora ◽  
Fraser McLeod ◽  
Carlos Lamas-Fernandez ◽  
Tolga Bektaş ◽  
Tom Cherrett ◽  
...  
Keyword(s):  
Distribution System ◽  
Urban Areas ◽  
Valid Inequalities ◽  
Branch And Cut ◽  
Computational Results ◽  
Delivery Problem ◽  
Last Mile ◽  
Optimisation Model ◽  
Last Mile Delivery

AbstractInspired by actual parcel delivery operations in London, this paper describes a two-echelon distribution system that combines the use of driving and walking as part of last-mile deliveries in urban areas for a single driver. The paper presents an optimisation model that explicitly treats and integrates the driving and walking elements, and describes a branch-and-cut algorithm that uses new valid inequalities specifically tailored for the problem at hand. Computational results based on real instances obtained from a courier operating in London are presented to show the performance of the algorithm.

Improvement of public distribution system efficiency applying blockchain technology during pandemic outbreak (COVID-19)

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anup Kumar
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Negative Impact ◽  
Real Life ◽  
Cost Benefit ◽  
Content Type ◽  
Public Distribution System ◽  
Blockchain Technology ◽  
Supply Chain Efficiency ◽  
The Cost

PurposeThe purpose of this paper is to analytically examine the viability of using blockchain technology (BT) in a public distribution system (PDS) supply chain to overcome issues of shrinkage, misplacement and ghost demand.Design/methodology/approachThe authors use a standard news vendor model with two objectives, the first of which includes a reduction of the total cost of stock, while the second includes minimization of the negative impact of human suffering due to the nonavailability of subsidized food supplies to the needy people.FindingsThe authors applied the model to a real-life case to draw meaningful insights. The authors also analyzed the cost/benefit tradeoff of adopting BT in a PDS supply chain. The results show that the adoption of BT in a charitable supply chain can reduce pilferage and ghost demand significantly.Originality/valueThe paper is positioned for utilizing inventory visibility via consistent and tamper-resistant data stream flow capability of BT to enhance the overall efficiency of PDS. Notably, Indian PDS faces three major challenges in terms of its supply chain efficiency.

Do e-commerce customers change their preferred last-mile delivery based on its sustainability impact?

2020 ◽  
Vol 31 (3) ◽  
pp. 521-548 ◽  
Author(s):  
Bianca Ignat ◽  
Stanislav Chankov
Keyword(s):  
Information Sharing ◽  
Stated Preference ◽  
Real Life ◽  
New Approach ◽  
Content Type ◽  
Additional Information ◽  
Last Mile ◽  
Making Choices ◽  
Delivery Options ◽  
Last Mile Delivery

PurposeThe purpose of this paper is to explore if e-commerce customers change their preferred last-mile delivery, when they are provided with additional information on the environmental and social sustainability impact of the available last-mile delivery options.Design/methodology/approachWe conduct a stated-preference survey and apply McNemar test on the collected data.FindingsThe results show that displaying the environmental and social impacts of last-mile deliveries influences E-commerce customers, and generally makes them more likely to choose a more sustainable last-mile delivery.Research limitations/implicationsThe main limitations are (1) the possible inconsistency between participants' intentions stated in the survey and their actual behaviour in real life and (2) the possibility of participants denying socially undesirable behaviours. Further research can study e-commerce customers' real behaviour.Practical implicationsE-retailers and logistics companies could implement transparent information sharing on the delivery sustainability impact on all three sustainability pillars.Social implicationsThe suggested transparent information sharing has the potential to change customers' behaviours towards more sustainable deliveries.Originality/valueWe provide a new approach in investigating customers' preferences on last-mile deliveries, by giving E-customers the chance of making choices between different deliveries, not only based on the economic factors (as in common practice nowadays) but also based on the environmental and social factors.

Last-mile logistics in the sharing economy: sustainability paradoxes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Btissam Moncef ◽  
Marlène Monnet Dupuy
Keyword(s):  
Service Providers ◽  
Primary Source ◽  
Sharing Economy ◽  
Food Delivery ◽  
Logistics Management ◽  
Exploratory Research ◽  
Content Type ◽  
Face To Face ◽  
Last Mile ◽  
Last Mile Delivery

PurposeThe purpose of this paper is to explore sustainability paradoxes in sharing economy initiatives by focusing on logistics management in last-mile logistics.Design/methodology/approachIn this exploratory study, a total of 10 case studies were conducted in three categories of companies: anti-waste platforms, food delivery platforms and bicycle delivery companies. Twenty-seven face-to-face interviews with founders and/or managers and contractors (couriers, logistics service providers or volunteers) were the primary source of data collection. The heterogeneity of the sample enabled the authors to build an understanding of sustainability paradoxes in the logistics of sharing economy initiatives.FindingsThe findings indicate how logistics management impacts the sustainability of sharing economy initiatives in last-mile delivery. The authors identify seven paradoxical tensions (five of them social) generated by the contradictions between the organizations' promised environmental and social values and the impacts of their operations.Research limitations/implicationsThis exploratory research is based on a qualitative study of 10 cases and 27 interviews from heterogeneous samples; further empirical research is needed to ensure generalization.Practical implicationsThe paper increases the understanding of environmental and social paradoxical tensions and awareness of logistics challenges.Social implicationsThe paper helps identify ways to reconcile promised values and impacts generated by sharing economy initiatives while managing last-mile delivery.Originality/valueThe results enrich the literature about the paradoxes in sharing economy initiatives by providing illustrations in last-mile logistics and exposing the underlying challenges for sharing economy logistics actors.

Leveraging Socially Networked Mobile ICT Platforms for the Last-Mile Delivery Problem

2012 ◽  
Vol 46 (17) ◽  
pp. 9481-9490 ◽  
Author(s):  
Kyo Suh ◽  
Timothy Smith ◽  
Michelle Linhoff
Keyword(s):  
Delivery Problem ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Mobile Ict

Selecting enablers for sustainable PDS supply chain in the Indian context using fuzzy-DEMATEL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sumanta Das ◽  
Akhilesh Barve ◽  
Naresh Chandra Sahu ◽  
Devendra K. Yadav
Keyword(s):  
Supply Chain ◽  
Distribution System ◽  
Causal Model ◽  
Literature Survey ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Public Distribution System ◽  
Food Grains ◽  
Indian Context ◽  
Entire Society

PurposeThis paper aims to identify, analyze and evaluate the major enablers for the sustainable public distribution system (PDS) supply chain in India in lessening food insecurity by distributing essentials food grains at a subsidized rate.Design/methodology/approachThe major enablers for the sustainable PDS supply chain were explored by conducting the literature survey and discussion with academic and warehouse experts. Then, the fuzzy-DEMATEL (decision-making trial and evaluation laboratory) technique was applied to develop a causal model that analyses the interaction among the identified enablers.FindingsThis study recognizes fifteen enablers through literature survey and experts' opinions. The present work concludes that “proper identification of the PDS beneficiaries” and “willingness and commitment of the top management and policymaker” are the two major enablers for the sustainable PDS supply chain.Research limitations/implicationsThis work would be helpful for profoundly understanding the major enablers, and how they are affecting the entire PDS supply chain. The study would be beneficial for the general people and the entire society straightforwardly by providing suggestions for food security.Originality/valueIdentifying and analyzing the major enablers for the sustainable PDS supply chain helps to visualize the problem more effectively and efficiently. Besides, the causal model explains a comprehensive perspective on the identified enablers.

scholarly journals From bricks-and-mortar to bricks-and-clicks

2018 ◽  
Vol 48 (4) ◽  
pp. 415-438 ◽  
Author(s):  
Johannes Wollenburg ◽  
Alexander Hübner ◽  
Heinrich Kuhn ◽  
Alexander Trautrims
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Primary Source ◽  
Delivery Systems ◽  
Content Type ◽  
Configuration Theory ◽  
Logistics Networks ◽  
Grocery Retailing ◽  
Last Mile ◽  
Last Mile Delivery

Purpose The advent of grocery sales through online channels necessitates that bricks-and-mortar retailers redefine their logistics networks if they want to compete online. Because the general understanding of such bricks-and-clicks logistics systems for grocery is still limited, the purpose of this paper is to analyze the internal logistics networks used to serve customers across channels by means of an exploratory study with retailers from different contexts. Design/methodology/approach A total of 12 case companies from six European countries participated in this exploratory study. Face-to-face interviews with managers were the primary source for data collection. The heterogeneity of the sample enabled the authors to build a typology of logistics networks in grocery retailing on multiple channels and to understand the advantages of different warehousing, picking, internal transportation and last-mile delivery systems. Findings Bricks-and-mortar grocery retailers are leveraging their existing logistics structures to fulfill online orders. Logistics networks are mostly determined by the question of where to split case packs into customer units. In non-food logistics, channel integration is mostly seen as beneficial, but in grocery retailing, this depends heavily on product, market and retailer specifics. The data from the heterogeneous sample reveal six distinct types for cross-channel order fulfillment. Practical implications The qualitative analysis of different design options can serve as a decision support for retailers developing logistics networks to serve customers across channels. Originality/value The paper shows the internal and external factors that drive the decision-making for omni-channel (OC) logistics networks for previously store-based grocery retailers. Thereby, it makes a step toward building a contingency and configuration theory of retail networks design. It discusses in particular the differences between grocery and non-food OC retailing, last-mile delivery systems and market characteristics in the decision-making of retail networks design.

Dynamic vehicle routing problem considering simultaneous dual services in the last mile delivery

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1267-1284 ◽  
Author(s):  
Yandong He ◽  
Xu Wang ◽  
Fuli Zhou ◽  
Yun Lin
Keyword(s):  
Vehicle Routing ◽  
Delivery System ◽  
Vehicle Routing Problem ◽  
Mixed Integer ◽  
Dynamic Vehicle Routing ◽  
Dynamic Vehicle Routing Problem ◽  
Routing Problem ◽  
Content Type ◽  
Last Mile ◽  
Last Mile Delivery

Purpose This paper aims to study the vehicle routing problem with dynamic customers considering dual service (including home delivery [HD] and customer pickup [CP]) in the last mile delivery in which three decisions have to be made: determine routes that lie along the HD points and CP facilities; optimize routes in real time, which mode is better between simultaneous dual service (SDS, HD points and CP facilities are served simultaneously by the same vehicle); and respective dual service (RDS, HD points and CP facilities are served by different vehicles)? Design/methodology/approach This paper establishes a mixed integer linear programing model for the dynamic vehicle routing problem considering simultaneous dual services (DVRP-SDS). To increase the practical usefulness and solve large instances, the authors designed a two-phase matheuristic including construction-improvement heuristics to solve the deterministic model and dynamic programing to adjust routes to dynamic customers. Findings The computational experiments show that the CP facilities offer greater flexibility for adjusting routes to dynamic customers and that the SDS delivery system outperforms the RDS delivery system in terms of cost and number of vehicles used. Practical implications The results provide managerial insights for express enterprises from the perspective of operation research to make decisions. Originality/value This paper is among the first papers to study the DVRP-SDS. Moreover, this paper guides the managers to select better delivery mode in the last mile delivery.

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