Design and control of warehouse order picking: A literature review

Sustainable supply chains: An introduction

https://epublications.marquette.edu/cgi/viewcontent.cgi?article=1270&context=mgmt_fac

Qualitative case studies in operations management: Trends, research outcomes, and future research implications

1 Blockchain’s roles in meeting key supply chain management objectives

Human life is dependent upon the natural environment, which, most would agree, is rapidly degrading. Business enterprises are a dominant form of social organization and contribute to the worsening, and enhancement, of the natural environment. Scholars in the administrative sciences examine questions spanning organizations and the natural environment but have largely omitted the information systems perspective. We develop a research agenda on information systems innovation for environmental sustainability that demonstrates the critical role that IS can play in shaping beliefs about the environment, in enabling and transforming sustainable processes and practices in organizations, and in improving environmental and economic performance. The belief-action-outcome (BAO) framework and associated research agenda provide the basis for a new discourse on IS for environmental sustainability.

https://misq.org/downloadable/download/linksample/link_id/838/in

Information systems innovation for environmental sustainability

https://repub.eur.nl/pub/1323/ERS%202004%20030%20LIS.pdf

A review of design and control of automated guided vehicle systems

In this paper the problem of finding efficient orderpicking routes is studied for both conventional warehouses, where pickers have a central depot for picking up and depositing carts and pick lists, and modern warehouses, where orderpicking trucks can pick up and deposit pallets at the head of every aisle without returning to the depot. Such environments can be found in many warehouses where paperless picking is performed from pallet locations with pickers having mobile terminals receiving instructions one by one. In order to find orderpicking routes with a minimal length in both the situations of a central depot or decentralized depositing, we extend the well-known polynomial algorithm of Ratliff and Rosenthal [1] that considered warehouses with a central depot. In practice, the problem is mainly solved by using the so-called S-shape heuristic in which orderpickers move in a S-shape curve along the pick locations. The performance of the new algorithm and the S-shape heuristic are compared in three realistic orderpicking systems: (1) narrow-aisle high-bay pallet warehouse; (2) picking in shelf area with decentralized depositing of picked items; and (3) conventional orderpicking from wide-aisle pallet locations. The new algorithm gives a reduction in travel time per route of between 7 and 34%. It turns out that the reduction in travel time strongly depends on the lay-out and operation of the warehouse.

/pdf/routing-orderpickers-in-a-warehouse-a-comparison-between-58jf5kzmeb.pdf

Routing orderpickers in a warehouse: a comparison between optimal and heuristic solutions

Time-access regulations and vehicle restrictions are increasingly used, especially in western Europe, to improve social sustainability in urban areas. These regulations considerably affect the distribution process of retail chain organizations as well as the environmental burden. This paper studies the impact of governmental time windows, vehicle restrictions, and different retailers' logistical concepts on the financial and environmental performance of retailers. We use a case study with two cases that differ in their drop sizes as input for an experiment. The retailers provided all organizational, flow, and cost data of the distribution process between their distribution centers and their stores. We use these data to calculate the impacts of different scenarios on the retailers' financial and environmental performances based on a fractional factorial design in which urban policies and the retailers' logistical concepts are varied, using vehicle routing software. We test the propositions with a third case. We show that the cost impact of time windows is the largest for retailers who combine many deliveries in one vehicle round-trip. The cost increase due to vehicle restrictions is the largest for retailers whose round-trip lengths are restricted by vehicle capacity. Vehicle restrictions and time windows together do not increase a retailer's cost more than individually. Variations in delivery volume and store dispersion hardly influence the impact of urban policy and the retailer's logistical concept decisions.

Delivering Goods in Urban Areas: How to Deal with Urban Policy Restrictions and the Environment

https://repub.eur.nl/pub/7090/ERS+2005+066+LIS.pdf

Exploring retailers’ sensitivity to local sustainability policies

https://repub.eur.nl/pub/107376/220614-1-s2.0-S0377221716305227-main.pdf

M. B. M. de Koster

Papers

A review of design and control of automated guided vehicle systems

Routing orderpickers in a warehouse: a comparison between optimal and heuristic solutions

Delivering Goods in Urban Areas: How to Deal with Urban Policy Restrictions and the Environment

Exploring retailers’ sensitivity to local sustainability policies

Estimating performance in a Robotic Mobile Fulfillment System