A few suggestions.
First, the series by Charles R. Shrader from the US Army Center of Military History.
 History of Operations Research in the United States Army, Volume 1: 1942–1962. (full text or also here or here)
 History of Operations Research in the United States Army, Volume 2: 1961–1973. (full text)
 History of Operations ...
THE classic book on WW II Operations Research is "Methods of Operations Research" by Philip M. Morse, George E. Kimball. It is basically WW II O.R., less classified material.
The Dover Press version is a reprint, with intro from Saul Gass, of the original 1951 version.
The MIT Press version is the 1959 revised edition.
Edit: Stanford O.R. Ph.D. and ...
About the "submarine hunting", if "ANTISUBMARINE WARFARE IN WORLD WAR II" is not the link you had in mind, it still might be useful.
Also, I found some of the links in "History of OR", the example in this pdf, and some of the links in the "second world war" section of Operations Research Wikipedia page, fascinating.
I suggest having a look at the following book:
Grötschel, M. (Ed.). (2012). Optimization stories. Dt. Mathematiker-Vereinigung.
The book has a number of chapters and in particular a chapter titled "Linear Programming Stories" which can interest you.
MINTO has not been updated in many years. It was innovative in its day, but most of its ideas like fractional cuts and presolve were incorporated years ago into commercial MILP solvers like CPLEX and Gurobi. For most applications today, the best option is one of the major commercial solvers like CPLEX or Gurobi; these are available at no-cost for academic ...
Not a written document, but maybe interesting: an episode of the INFORMS podcast, Looking Back at the Origins of O.R. on "the first time the term Operations Research was employed, and some of the earliest applications of O.R. during World War II".
I'm going to interpret "in OR" as appearing in OR journals and/or written by people who identify as OR/MS/IE researchers. I'm a bit familiar with the intersection of optimization and statistical estimation. Machine learning, OLS and LAV regression, lasso regression etc. all rely on solving optimization problems to fit models. In addition, ...
I really like this excerpt from Philip Morse's biography:
He doesn't go deep into methods, but he does discuss OR in WWII, including submarine-related problems.
Interesting historical question. In Section 8.7, Chapter 8 of Algorithms (2019)1, Erickson notes that
The simplest implementation of Ford’s generic shortest-path algorithm was
first sketched by Alfonso Shimbel in 1954, described in more detail by Edward
Moore in 1957, and independently rediscovered by Max Woodbury and George
Dantzig in 1957, by Richard ...