Sanchoy Das

Professor

  • Newark NJ UNITED STATES

Sanchoy Das's current research is primarily focused on supply chains and health care systems.

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Spotlight

1 min

The demands of fast fulfillment

Consumers now expect packages to arrive in hours, perhaps days but not weeks. Amazon fueled this demand with the promise of speedy delivery of nearly everything you can buy online. Indeed, your doorstep now rivals the loading dock as the main destination for goods.Supply chains are the key to such quick turnarounds: in short, how items move from manufacturers to distributors to consumers. Any hiccups along the way exasperates our increasingly demanding consumers. In short, they want fulfillment to be as easy as clicking to buy something online.Through years of research and experience, NJIT’s Sanchoy Das has become an expert on fast fulfillment, even writing a book on it. It continues to evolve, however, with the prospect of drone deliveries on the horizon. He’s versed on that as well, making him an ideal source for stories that explain how goods and services are delivered in our on-demand economy. Specifically, Sanchoy can explainLogisticsBreakdowns in supply chains Industrial engineeringBusiness operations managementData-driven technologyTo interview him, simply click on the button below.Sanchoy's Profile

Sanchoy Das

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Biography

Sanchoy Das is professor of industrial engineering at the New Jersey Institute of Technology, where he teaches supply chain engineering and logistics modeling. He received his PhD from Virginia Tech. His research passion is supply chains — that remarkable cocktail of logistics, engineering, business operations management and data driven technology that brings products and services to our doorstep. He has published numerous research articles on the topic and his research investigates how companies are developing and pivoting the supply chains to meet the needs of fast fulfillment.

Areas of Expertise

Business Operations Management
Healthcare Systems Engineering
Fast Fulfillment Supply Chains
Analytics Application Models
Logistics and Engineering
Data Driven Technology
Logistics Modeling
Supply Chains

Education

Virginia Polytechnic Institute and State University

Ph.D.

Industrial Engineering & Operations Research

1988

Virginia Polytechnic Institute and State University

M.S.

1985

University of Science and Technology (Ghana)

B.S.

1982

Media Appearances

How Online Retail Has Changed Supply Chains Irreversibly

The Digital Supply Chain podcast  online

2021-12-03

This is a space that Amazon had come to dominate, but now everyone is having to catch up. Wanting to know more about this phenomenon, I turned to Prof Sanchoy Das, who literally wrote the book on the topic - his book is called Fast Fulfillment- -The Machine That Changed Retailing.

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Consumers wait or pay more as businesses wrestle supply chain woes

The Atlanta Journal-Constitution  online

2021-07-19

The shorter and simpler the chain, the quicker it will adapt, said Sanchoy Das, supply chain expert at the New Jersey Institute of Technology. “Lumber is a good example. Prices jumped but are now closer to normal.” But chains reaching to Asia are more complex, he said. “Christmas could be a challenge.”

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Medically Necessary: The enormous challenge of scaling up global vaccine production

Freight Waves  online

2021-03-30

Sanchoy Das, a supply chain researcher at the New Jersey Institute of Technology, said he’s not optimistic about this kind of international cooperation in the immediate future while many materials are still in short supply. “When there is sufficient supply everyone is willing to shake hands,” he told FreightWaves. “We can have WHO … manage the supply so that we can all benefit. Right now when we have a shortage of supply, all kinds of national borders, political borders kick in.”

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Articles

Johnson & Johnson's vaccine has some unique features that make it the single best tool for ending the pandemic

Business Insider

Sanchoy Das

2021

In years to come, the COVID-19 vaccination rollout will be seen as a historic effort between the public and private sector, but for now, the Biden administration and states have their work cut out for them. Vaccinating an entire country is no easy feat; it requires coordinated planning between manufacturers and distributors. And a successful rollout can occur only with a strong, transparent supply chain. The logistical requirements for production and the increased public demand for timely vaccinations are at an unprecedented scale, but the approval of the Johnson & Johnson vaccine may be the jolt this effort needs.

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The dynamic stocking location problem – Dispersing inventory in fulfillment warehouses with explosive storage

International Journal of Production Economics

Jingran Zhang, Sevilay Onal, Sanchoy Das

2020

Online order fulfillment warehouses (F-Warehouses) are a critical component of the physical internet. F-Warehouses convert online customer orders into physical delivery packages with an operational goal of fast fulfillment. Structurally F-Warehouses are unlike traditional warehouses and key differentiators are, a very large number of small bin locations, an explosive storage policy, and commingled bin storage. In explosive storage, an incoming bulk is separated into small lots which can be stocked in any bin throughout the warehouse. s orders flow in, this inventory dispersion increases the probability that a picker can locate multiple ordered items within a short distance. The dynamic stocking decision then is, where to stock the arriving inventory lots, such that picking algorithms can generate more efficient picklists and achieve the fast fulfillment goal. [...]

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An objective model for collaborative flight scheduling in a single mega-hub network

Transportation Planning and Technology

Sufian Ikhmeis, Sanchoy Das

2020

Single mega-hub (SMH) airports are among the highest passenger volume airports in the world. Eight operational features that distinguish an SMH airport are identified, including collaborative flight scheduling between the airline and airport. This paper develops an objective function to direct collaborative flight scheduling. Three cost objectives are modeled, each of which focusses on a specific variable cost to the airport: passenger waiting time, passenger volume in the terminal, and ground activity imbalance. The scheduling objective is modeled as a function of (i) waiting time for each passenger, (ii) passenger count in the airport terminal, and (iii) the ground activity peak deviation from the balanced rate. Model application is demonstrated on the schedule of an airline operating 184 daily departures from a SMH. Results show the model can be used to reduce the airport’s variable costs. Rescheduling departure times for 6.5% of flights generated a 2.8% cost reduction.

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