Maximizing Pickup Efficiency and Utilization in Online Grocery: Two-Phase Heuristic Approach

Yadav, Dharmender; Saxena, Abhinav

doi:10.1007/978-981-13-1274-8_18

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…The first part is order picking methods, where the critical focus is the strategy for consolidating customer orders, so that orders are picked as quickly as possible with minimum effort. The second part is order routing, which is concerned with the sequence in which items are picked, in order to minimize the distance traveled by the picker [9].…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, their study only addressed batching as a picking method [11]. Another study by Yadav et al, (2019) used a two-phase heuristic approach. However, the authors' focus was on batch order picking as a consolidation policy [9].…”

Section: Batch Order Pickingmentioning

confidence: 99%

“…Another study by Yadav et al, (2019) used a two-phase heuristic approach. However, the authors' focus was on batch order picking as a consolidation policy [9]. In the literature, many strategies for optimizing order picking have been proposed.…”

Section: Batch Order Pickingmentioning

confidence: 99%

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Developing an Efficient Model for Online Grocery Order Fulfillment

Alrasheed,

Rehman,

Alharkan

2024

Sustainability

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Due to the convenience of online grocery apps and home delivery, online grocery shopping has become popular in recent years. Globally, consumer behavior has significantly changed the consumption and purchase patterns of online grocery shopping. This study aimed to develop an efficient model for online grocery order fulfillment that both reduces costs and increases supply chain efficiency and sustainability. This study first aimed to develop the current picking model by adopting real-world data from a store in Riyadh, Saudi Arabia. Subsequently, four proposed models were developed to improve the efficiency and sustainability of the online grocery order fulfillment process. The results show a significant improvement in all models over the current picking model. The percentage improvements in fulfillment time per product are as follows: single order picking—8.33%; batch order picking—6.78%; zone order picking—3.08%; and hybrid order picking—13.20%, which combines zone and batch order picking. Retailers and online grocery apps could adopt these models to increase efficiency and sustainability. Also, these models have great potential for future research and improvement by optimizing product placement, in addition to picking methods and picking routes, which are the focus of this study.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Batch Order Pickingmentioning

confidence: 99%

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Developing an Efficient Model for Online Grocery Order Fulfillment

Alrasheed,

Rehman,

Alharkan

2024

Sustainability

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“…In the same line of research, a study by Yadav and Saxena (2019) proposes different mathematical optimization models to complete the collection of food products in a minimum time. In addition to improving efficiency by reducing process times, it is possible to minimize the number of boxes required, which moderates the quantity of transports required.…”

Section: Order Picking Processesmentioning

confidence: 99%

A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains

Vazquez‐Noguerol

Comesaña-Benavides

Riveiro-Sanroman

et al. 2021

Cent Eur J Oper Res

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The use of the online channel has greatly increased the logistics costs of supermarket chains. Even the difficulty of managing order picking and delivery processes has increased due to the short delivery times and the preservation of perishable products. Against that backdrop, the proposed approach presents a mathematical model for planning the e-fulfillment activities with the objective of ensuring maximum efficiency. The linear programming model has been designed for e-grocers that prepare their online orders at central warehouses. The mathematical model determines both the time windows during which picking and transport should take place and the assignment of trucks to delivery routes. The allocation of online orders is performed taking into account the conservation requirement of each type of product and the availability of means. Considering this planning tool, managers can improve the decision-making process guaranteeing the quality of service while reducing the e-fulfillment cost for joint picking and delivery point of view. Motivated by a cooperation with a supermarket chain, results bring great insight based on the simulation of different logistics alternatives. Companies and researchers can compare the strategy of leveling the workload and the strategy of reducing the number of means, a common alternative in logistics outsourced to third parties. In addition, the different scenarios developed make it possible to determine the substantial savings achieved by modifying the delivery services and advancing the order preparation. As a result, managerial insights are identified highlighting the importance of efficient order planning to improve the profitability of online sales.

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Maximizing Pickup Efficiency and Utilization in Online Grocery: Two-Phase Heuristic Approach

Cited by 2 publications

References 8 publications

Developing an Efficient Model for Online Grocery Order Fulfillment

Developing an Efficient Model for Online Grocery Order Fulfillment

A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains

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