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- From: ara@zurich.ai.mit.edu (Allan Adler)
- Newsgroups: sci.math.num-analysis
- Subject: Re: Maximize Volume of Boxes in Shipping Container
- Message-ID: <ARA.92Jul24174319@camelot.ai.mit.edu>
- Date: 24 Jul 92 22:43:19 GMT
- References: <24JUL199212572842@vx.cis.umn.edu>
- Sender: news@mintaka.lcs.mit.edu
- Organization: M.I.T. Artificial Intelligence Lab.
- Lines: 34
- In-Reply-To: mjfrisch@vx.cis.umn.edu's message of 24 Jul 92 17:57:00 GMT
-
-
- About 12 years ago, I helped my sister with a problem like this, only
- it was a matter of maximizing the weight. I didn't need a computer and
- didn't have one. Just by simple fiddling, I was able to figure
- out how to get just 5 grams under an allowable limit of 20 tonnes. This
- also took into account how they would all physically fit in the container.
-
- Unfortunately, a mathematical solution to this apparently mathematical
- problem overlooks some practical difficulties: (1) if the people who actually
- have to do the work of packing the stuff into the container have to learn
- something special or complicated in order to load the stuff into the container
- according to the optimal solution, it is not going to happen. (2) The
- specifications of the boxes, both their sizes and weights, are subject to
- variations, often because of variations in their manufacture, sometimes
- because of stupid reasons such as moisture absorbed by the cardboard.
- (3) If the variations, which are not known, or the failure of the workers to
- conform to the actual solution, cause one to exceed the constraints
- of the problem (in your case, the dimensions of the container, in my sister's
- case, the allowed weight), then that is a serious problem (in your case, it
- won't fit, in my sister's case, there would be a fine).
-
- The difficulty of taking into account variations in the parameters of the
- problem or constraints in the work practices of the people who load the
- container, when no one has ever bothered to collect that information, seems
- to argue against seeking a mathematical solution of the problem. Instead,
- it seems like a better idea to tinker together a solution which is
- somewhat less than optimal and simply to ask someone in authority in the
- company if that solution is good enough for their purposes. If they insist
- on pushing the limits of the problem, explain you can deliver better
- solutions if necessary, but you need detailed information about the
- factors I mentioned above.
-
- Allan Adler
- ara@altdorf.ai.mit.edu
-