Towards Industrial-scale Product Configuration

2); (2) University of W\"urzburg; (3) University of Potsdam; 4); (4) Potassco Solutions; 5); (5) UP Transfer; Germany; Germany); Joachim Baumeister (1

arxiv: 2504.00013 · v4 · submitted 2025-03-26 · 💻 cs.SE · cs.PL

Towards Industrial-scale Product Configuration

Joachim Baumeister (1 , 2) , Susana Hahn (3 , 4) , Konstantin Herud (1) , Max Ostrowski (4) , Jochen Reutelsh\"ofer (1) , Nicolas R\"uhling (3

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5) Torsten Schaub (3 Philipp Wanko (4) ((1) denkbares W\"urzburg Germany (2) University of W\"urzburg (3) University of Potsdam (4) Potassco Solutions (5) UP Transfer Germany)

This is my paper

Pith reviewed 2026-05-22 22:27 UTC · model grok-4.3

classification 💻 cs.SE cs.PL

keywords product configurationCOOM languagebenchmarksanswer set programmingbike modelsconfiguration problemsscalable modelsindustrial applications

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The pith

The COOM Suite supplies a set of benchmarks in the COOM language to support work on industrial product configuration.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper introduces the COOM Suite, a curated collection of product model benchmarks written in the COOM language. The benchmarks are organized into three fragments that increase in complexity, each paired with a bike model example, plus additional scalable product models. An ASP-based workflow is outlined for solving the configuration problems these models generate. The suite is positioned as shared, accessible test material that can serve as common ground for researchers and practitioners working on configuration systems.

Core claim

The authors establish the COOM Suite, consisting of curated product models in COOM divided into three complexity fragments with accompanying bike examples and scalable models, along with an adaptable ASP workflow, as a representative set for advancing work on industrial product configuration.

What carries the argument

The COOM language benchmarks organized into three fragments of increasing complexity, which function as standardized test cases for configuration solvers.

If this is right

The same models can be solved under different paradigms to compare solver performance directly.
The provided resources allow stakeholders to develop and test configuration tools against shared, public cases.
Scalable models in the suite can be used to study how solution methods behave as product size grows.
The workflow description shows how COOM problems can be translated into answer-set programs for solving.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

Widespread use of the suite could create a de-facto standard for evaluating new configuration algorithms.
The benchmark structure suggests similar curated suites could be developed for configuration tasks outside the bike domain.
If the models prove representative, they could serve as regression tests when configuration systems are extended or modified.

Load-bearing premise

The bike-based examples and chosen complexity levels capture the key structures and constraints that appear in actual industrial product configuration tasks.

What would settle it

Industrial practitioners review the suite and report that their configuration problems contain constraint patterns or scale features absent from the provided bike and scalable models.

read the original abstract

We address the challenge of product configuration in the context of increasing customer demand for diverse and complex products. We propose a solution through a curated selection of product model benchmarks formulated in the COOM language, divided into three fragments of increasing complexity. Each fragment is accompanied by a corresponding bike model example, and additional scalable product models are included in the COOM suite, along with relevant resources. We outline an ASP-based workflow for solving COOM-based configuration problems, highlighting its adaptability to different paradigms and alternative ASP solutions. The COOM Suite aims to provide a comprehensive, accessible, and representative set of examples that can serve as a common ground for stakeholders in the field of product configuration.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

The paper introduces a COOM benchmark suite with bike examples and an ASP workflow, but offers no evidence that the models capture industrial-scale configuration problems.

read the letter

The main thing here is a new benchmark suite called the COOM Suite for product configuration problems, built around bike models in three complexity levels plus some scalable ones, all in the COOM language, with an ASP-based solving workflow. What stands out is that they provide concrete, accessible examples and resources, which could help people working on configuration solvers test their approaches more consistently. The workflow description shows how it can adapt to different solving paradigms, which is practical. The soft spot is the representativeness claim. The title and abstract push industrial-scale and representative set, but there's no quantitative breakdown of the models—no numbers on variables, constraints, or solution spaces—and no comparison to actual industrial cases in automotive or electronics. The bike examples might be convenient, but without evidence that they capture the scale and variability of real problems, that part doesn't hold up yet. The stress-test note is right on this. This paper is mainly for people already in the product configuration and answer-set programming community who need benchmarks. A reader looking for broad impact or proven industrial relevance won't find it here. It could go to peer review if the full version adds some validation or metrics on the models, but the current version needs work on justifying the choice of examples. I'd send it for review rather than desk reject because a solid benchmark suite would be useful even if the representativeness needs more support.

Referee Report

2 major / 1 minor

Summary. The manuscript proposes the COOM Suite as a curated collection of product configuration benchmarks expressed in the COOM language. The suite consists of three fragments of increasing complexity, each illustrated by a bike model example, plus additional scalable product models; it also outlines an ASP-based workflow for solving the resulting configuration problems. The central claim is that this collection constitutes a comprehensive, accessible, and representative set of examples that can serve as common ground for stakeholders in the field of product configuration.

Significance. If the models can be shown to capture the scale, constraint density, and variability patterns of real industrial configurators, the suite would provide a much-needed public benchmark collection that enables reproducible solver comparisons across paradigms. The explicit mention of workflow adaptability is a constructive element. At present the absence of any quantitative model characterization or industrial mapping prevents assessment of whether these strengths are realized.

major comments (2)

[Abstract] Abstract: the assertion that the COOM Suite is 'representative' of industrial-scale product configuration is unsupported; no variable counts, constraint-type distributions, solution-space sizes, or direct comparisons to documented automotive/electronics configurators are supplied.
[COOM Suite description] The description of the three bike-model fragments (increasing complexity) and the additional scalable examples provides no metrics or validation that these instances reproduce the constraint density or variability patterns found in production-scale configurators, leaving the representativeness claim untestable.

minor comments (1)

[ASP-based workflow] The workflow outline would benefit from a small concrete example showing how a COOM fragment is translated into an ASP instance.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive feedback highlighting the need to substantiate the representativeness claim. We address each major comment below, agreeing that additional quantitative details are warranted and outlining revisions accordingly.

read point-by-point responses

Referee: [Abstract] Abstract: the assertion that the COOM Suite is 'representative' of industrial-scale product configuration is unsupported; no variable counts, constraint-type distributions, solution-space sizes, or direct comparisons to documented automotive/electronics configurators are supplied.

Authors: We agree the abstract's phrasing overstates the current support. In the revision we will replace 'representative' with 'intended to serve as a foundation toward representative benchmarks' and add a dedicated subsection with model metrics (variable counts, constraint-type distributions, estimated solution-space sizes) for all fragments and scalable examples. We will also reference public literature on automotive and electronics configurators for indirect comparison, while noting that direct proprietary data access is restricted. revision: yes
Referee: [COOM Suite description] The description of the three bike-model fragments (increasing complexity) and the additional scalable examples provides no metrics or validation that these instances reproduce the constraint density or variability patterns found in production-scale configurators, leaving the representativeness claim untestable.

Authors: The manuscript currently emphasizes the language fragments and ASP workflow over quantitative validation. We accept this leaves the claim untestable and will revise the COOM Suite description section to include explicit metrics (constraint density, variability patterns) for each bike fragment and scalable model. We will also add a short discussion mapping observed patterns (e.g., cardinality and compatibility constraints) to those reported in open industrial-configuration literature, with the full models released for external verification. revision: yes

Circularity Check

0 steps flagged

No circularity: benchmark proposal without derivations or reductions

full rationale

The paper proposes a curated benchmark suite (COOM Suite) and an ASP-based workflow for product configuration. It contains no equations, parameters, predictions, or mathematical derivations. The representativeness claim is a direct modeling assertion without any reduction to fitted inputs, self-citations, or self-definitional steps. No load-bearing self-citation chains or ansatzes appear. The work is self-contained as a descriptive proposal and workflow outline.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper is a benchmark and workflow proposal rather than a derivation. No free parameters are fitted. The central claim rests on the domain assumption that the chosen examples are representative.

axioms (1)

domain assumption Answer Set Programming can be adapted to solve COOM-based configuration problems across different paradigms.
Stated in the abstract as part of the outlined workflow.

pith-pipeline@v0.9.0 · 5729 in / 1201 out tokens · 52657 ms · 2026-05-22T22:27:10.713849+00:00 · methodology

discussion (0)

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

IndisputableMonolith/Foundation/RealityFromDistinction.lean reality_from_one_distinction unclear

?

unclear
Relation between the paper passage and the cited Recognition theorem.

We propose a solution through a curated selection of product model benchmarks formulated in the Coom language, divided into three fragments of increasing complexity... ASP-based workflow for solving Coom-based configuration problems
IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear

?

unclear
Relation between the paper passage and the cited Recognition theorem.

The CoomSuite aims to provide a comprehensive, accessible, and representative set of examples that can serve as a common ground for stakeholders in the field of product configuration.

What do these tags mean?

matches: The paper's claim is directly supported by a theorem in the formal canon.
supports: The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends: The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses: The paper appears to rely on the theorem as machinery.
contradicts: The paper's claim conflicts with a theorem or certificate in the canon.
unclear: Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.