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The Future of OR

Tags: Software, Technique, MBA, Software Company, Analysis, Forecasting, Simulation, Tools & Techniques, Productivity, Research & Development, Sales Force Management, Management, Business Operations, Sales, Andrew Hines, Innovation, Schruben, Operations Research, Analytics, Quantitative Analysis, BNET Feature

Lee W. Schruben is a professor and former chair of Industrial Engineering and Operations Research at UC Berkeley, and one of the world’s leading authorities on simulation theory and practice. He has consulted widely in the high-tech and biotech industries, as well as in banking and in auto making. He spoke to BNET about the challenges ahead for OR and for those in the OR field.

BNET: What are the big unsolved problems for OR in practice today?
Schruben: We have to realize that what we’re actually doing is forecasting. We are trying to model what will happen in the future, and that’s the biggest practical challenge — how to get away from models with static assumptions and develop predictive models that can respond in real time to changes in the world.

BNET: What do you mean by static assumptions?
Schruben: As it is now, we collect data and build a model based on assumptions we think are reasonable at the time. But our results only tell us what would have happened in the past, when those assumptions were valid. Most models assume that input data are independent and identically distributed (IID), but that’s almost never true. Assuming IID data is assuming that events in the world don’t depend on each other, and that the probability of them happening doesn’t change over time. But things are changing constantly in business.

BNET: So what is the right approach to OR modeling?
Schruben: We have to integrate forecasting and risk analysis with OR modeling. We have to integrate models with dynamic market information and forecasting. Simulation is the workhorse to do this, because it can handle that kind of dynamic complexity, whereas most OR models tend to be optimization, static kind of models.

BNET: Do you think it’s accurate to say that OR is more of a theoretical exercise than a practical solution to business problems? Or is the practical application of OR techniques more of a defining factor now?
Schruben: There’s a lot of theoretical OR that has given the field a bad name. This comes from the “managerial insight” section of OR research papers. Most of the insights are either obvious or wrong. And these insights are often couched in such obscure terms that they confuse and disillusion managers. So the theoretical stuff tends to give the field a bad name. But the practical application of OR is the reason we’re still in business. There’s no question that OR in practice has made a huge impact on business.

BNET: How much do you think packaged business analysis programs, like SAP or Oracle’s ERP solutions, help or hinder the advancement of OR in business practice?
Schruben: In order to compete, software companies have to say “all problems are solved by our software,” which just isn’t true. In that sense, packaged or embedded solutions are probably hindering OR in practice. A lot of out-of-the-box OR techniques are 20 years old. Innovation is largely coming from academic researchers, but unfortunately, a lot of these software companies don’t welcome academic input. In the ideal world, there would be a lot more collaboration.

BNET: How do you see the role of OR in business changing over the next 10 years?
Schruben: I’m hoping that managers become much more knowledgeable about analytics and OR. I see the education of new MBAs focusing much more on business analysis. MBAs need to be able to ask the right questions and develop a systematic way of thinking about problems. Learning particular analytic techniques alone won’t get you very far, but the training will teach you how to discipline your thinking, how to ask the right questions and become a wise software consumer. Software vendors need to say, “Wow, we can’t keep up with the MBAs.”

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  •  
    ORMSblog03/02/08 Report as spam
    1

    Great article!

    This is a great article. I agree that the future of OR is definitely going to be more dynamic and digital. We will see more collaborations between OR analysts and software engineers to develop software that provides real-time decision support and evolves with changing conditions.

    Please visit my personal website, "The Operations Research / Management Science Blog", http://www.ormsblog.com

    Thanks again for this great article!

  •  
    patmurray12@...03/02/08 Report as spam
    2

    Enjoyed your articles - great job!

    I sent your link to my OR team happy

  •  
    gsgomezintl03/02/08 Report as spam
    3

    RE: The Future of Operations Research

    WONDERFUL. BUT I WOULD LIKE TO SEE MORE ABOUT IT, PERHAPS A PROPOSITION? OTHERWISE IT'S ONLY A DESCRIPTIVE ARTICLE, A DIAGNOSIS.

  •  
    jonathan134503/02/08 Report as spam
    4

    RE: The Future of Operations Research

    I agree that Schruben has a several very valid points but I think his focus on 'Simulation' is a bit one-sided. I just read a nice comment to this article on

    http://restart2.blogspot.com/2008/06/future-of-operations-research-revisited.html

  •  
    jonathan134503/02/08 Report as spam
    5

    link has been truncated

    the link has been truncated. you can also just go to

    http://restart2.blogspot.com

  •  
    bharathy@...03/02/08 Report as spam
    6

    RE: The Future of Operations Research

    This is a very timely article. Last time the same topic was attended to by Prof Russ Ackoff of the University of Pennsylvania in (1979?), the OR had already earned the ill-repute. Ackoff swiftly dealt with OR as saying that its future is past. The truth however is that we are living in a changing world. Firstly, 70s did not have the computational power or capacity to address some of the REAL and INTRACTABLE problems faced by humanity. While we do not have the answers yet, we have made significant progress.

    Today, at Ackoff Center at the University of Pennsylvania, we are involved in massive simulation modeling of social systems, incorporating human behavior. While theoretical OR is IMPORTANT, we should also be prepared to take leave from theoretical OR to address real problems - two such instances are incorporating human behavior and purposely deviating from the KISS principle to account for the real complexities in the social systems.

    Gnana K. Bharathy
    Ackoff Collaboratory for Advancement of Systems Approach (ACASA)
    University of Pennsylvania
    http://www.acasa.upenn.edu/assoc.htm | http://www.seas.upenn.edu/~bharathy/

  •  
    gnewsome03/02/08 Report as spam
    7

    RE: The Future of Operations Research

    From a guy who works for a Predictive Modeling and Simulation small company (our resident "academic" PhDs have productionized the methodology into technology - it is not stuck in academia as the interview may imply), part of the "reputation" issue is tied to the fact thath there is significant disparity in output results / accuracy among such OR technologies.

    Ex. While a spreadsheet tool is a great place to start to "bound" the model, I would caution readers to be very careful on making significant decisions on over-simplified models and simulation. Fidelity of the model and simulation (which is directly proportional to the technologies ability to precisely reflect the complexity of your business) is key to success .....otherwise...as the interview highlights - simplified theory without an accurate bridge to detailed reality ....can have disastrous consequences....and the field will maintain its bad name....

    Reinforcing Prof. Schruben: Even with "Advanced" Predictive Modeling, it is an iterative PROCESS ....it is more than a technology .... it is a way of THINKING.

    Giancarlo Newsome, Clockwork Solutions Inc.

  •  
    Pete Malpass03/02/08 Report as spam
    8

    RE: The Future of Operations Research

    Russell Ackoff (one of the foundersd of OR) wrote an article in the Journal, Operations Research, around 1984 that was titled, "OR is dead, bloated and stinking. Why don't we bury it?" You've just played apologist for the same sentiments. Ackoff's Systems Thinking work nicely summed up in Gharajedaghi's book (~2002) shows why OR fails (shorter funny version is Gene Woolsey's "On Modeling the Modelers" in 1984 Interfaces journal). I modeled networks of networks and systems for years but the people, political and economic environments (creating "messes" not "problems") were what kept us from success and sometimes helped us be successful. The author essentially notes the same (you can't always solve a technical problem using just technical mechanisms) without recognizing it. It is impressive to me that in 40+ years with great insights (Torbert & Rooke, "7 Transaformations..." HBR, 4/05; DICE criteria, HBR 10/05 "Hard side of ..." and the incredibly readable Ackoff, Forrester, and Argyris articles on systems thinking, that it isn't a part of the business curriculum. Perhaps Torbert's article explains that - only 11% or so of people can do second-third order learning that enables them to understand and adapt strategies using non-technical inputs. Senge's work actually muddied the waters for me, but going back to read Argyris (1974) (Nassim Taleb's "Black Swan" does a nice update of some of this thinking for financial types) and Ackoff (start with his "Fables" then switch to Gharajedaghi's "Systems Thinking") really helps.

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